OnlyDataJobs.com

R1 RCM
  • Salt Lake City, UT

Healthcare is at an inflection point. Businesses are quickly evolving and new technologies are reshaping the healthcare experience. We are R1 a revenue cycle management company that is passionate about simplifying the patient experience, removing the paperwork hassle and demystifying financial obligations. Our success enables our healthcare clients to focus on what matters most providing excellent clinical care.  


Great people make great companies and we are looking for a great Application Architect to join our team Murray, UT. Our approach to building software is disciplined and quality-focused with an emphasis on creativity, craftsmanship and commitment. We are looking for smart, quality-minded individuals who want to be a part of a high functioning, dynamic team. We believe in treating people fairly and your compensation should reflect that. Bring your passion for software engineering and help us disrupt ourselves as we build the next generation healthcare revenue cycle management products and platforms. Now is the right time to join R1!  


R1 is a leading provider of technology-enabled revenue cycle management services which transform and solve challenges across health systems, hospitals and physician practices. Headquartered in Chicago, R1 is publicly-traded organization with employees throughout the US and international locations.


Our mission is to be the one trusted partner to manage revenue, so providers and patients can focus on what matters most. Our priority is to always do what is best for our clients, patients and each other. With our proven and scalable operating model, we complement a healthcare organizations infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.


As an Application Architect you apply your problem solving, critical thinking and creative design to architect and build software products that achieve technical, business and customer experience goals.


Responsibilities:


  • Plans software architecture through the whole technology stack from customer facing features, to algorithmic innovation, down through APIs and datasets.
  • Ensures that software patterns and SOLID principles are applied across the organization to system architectures and implementations.
  • Works with product management, business stakeholders and architecture leadership to understand software requirements and helps shape, estimate and plan product roadmaps.
  • Plans and implements proof of concept prototypes.
  • Directly contributes to the test-driven development of product features and functionality, identifying risks and authoring integration tests.
  • Manages and organizes build steps, continuous integration systems and staging environments.
  • Mentors other members of the development team.
  • Evaluates, understands and recommends new technology, languages or development practices that have benefits for implementing.


Required Qualifications:


    8+ ye
    • ars experience programming enterprise web products with Visual Studio, C# and the .NET Framework. Robus
    • t knowledge in software architecture principles including message and service busses, object-oriented programming, continuous integration / continuous delivery, SOLID principles, SaaS, microservices, master data management (MDM) and a deep understanding of design patterns and domain-driven design (DDD). Signi
    • ficant experience working with most the following technologies/languages: C#, .NET/Core, WCF, Entity Framework, UML, LINQ, JavaScript, Angular, Vue.js, HTML, CSS, Lucene, REST, WebApi, XML, TSQL, NoSQL, MS SQL Server, ElasticSearch, MongoDB, Node.js, Jenkins, Docker, Kubernetes, NUnit, NuGet, SpecFlow, GIT. Worki
    • ng knowledge of progressive development processes like scrum, XP, kanban, TDD, BDD and continuous delivery. Stron
    • g sense of ownership and accountability for delivering well designed, high quality enterprise software on schedule. Proli
    • fic learner, willing to refactor your understanding of emerging patterns, practices and processes as much as you refactor your code. Abili
    • ty to articulate and illustrate software complexities to others (both technical and non-technical audiences). Frien
    • dly attitude and available to mentor others, communicating what you know in an encouraging and humble way.
    • Experience working with globally distributed teams.
    • Knowledge of the healthcare revenue cycle, EMRs, practice management systems, FHIR, HL7 or HIPAA is a major plus.


Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions.  Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.


Our associates are given valuable opportunities to contribute, to innovative and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package.  To learn more, visit: r1rcm.com

Ilion Studios, S.A.
  • Las Rozas, Spain

The R&D Team is responsible for the design, implementation and ongoing maintenance of the global computer animation pipeline used to create our beautiful films.

We're looking for a software engineer who is committed to creating and maintaining world-class production tools. If you are a highly motivated individual with a deep understanding of software application engineering, an ability to collaborate with large cross-functional teams, and are skilled in designing and implementing robust, easy to maintain code, this may be the role for you.

Main responsibilities

In this role, you will be responsible for feature development and bug fixing for proprietary software used by concurrent film productions. We need our engineers to be versatile, display leadership qualities and be enthusiastic to tackle new problems as we continue to push technology forward.

Qualifications

· BS degree in Computer Science, similar technical field of study

· Between 0 and 2 years of experience

· Solid engineering skills with an appreciation of code craft, code health, and addressing technical debt.

· Excellent problem solving skills with high attention to detail, balancing quick turnaround with long-term quality.

· Ability to triage incoming issues and provide rapid response/resolution.

· Working proficiency and communication skills in verbal and written English.

· Ability to work with a team to deliver high-quality software in a fast paced, dynamic, deadline oriented environment.

· Have a startup personality: smart, ethical, friendly, hard-working and productive.

Preferred Qualifications

· Scripting skills with expertise in Python, PyQt and/or Maya MEL.

· Knowledge of platforms such as Maya, Houdini, Mari or Nuke.

· Experience creating and maintaining automated tests to catch key issues as early as possible.

· Production experience and/or working with visual artists.

· Experience contributing to open source projects.

JHU Applied Physics Laboratory
  • Laurel, MD
  • Salary: $100k - 140k

The Johns Hopkins Applied Physics Laboratory (APL) is a national leader in scientific research and development. APL is actively seeking a Senior Data Scientist for the Health Data Sciences & Analytics Group. The Senior Data Scientist will support the National Health Mission Area, whose aim is to revolutionize health through science and engineering. JHU/APL is located midway between Baltimore and Washington, DC.


The Health Data Science and Analytics Group provides cutting edge analytics contributions to national and global publichealth and healthcare challenges, developing solutions in Health Informatics, Population Health, Precision Medicine, Digital Health, Analytics and Software Systems. Our multidisciplinary team of engineers and scientists develop statistical and machine learning algorithms and incorporate visual analytics into software systems that process large and complex data sets. We are looking for data scientists, computer scientists, applied mathematicians, statisticians and software developers that are creative problem solvers and team players dedicated to building world class expertise to provide
solutions for health and healthcare systems around the globe.


Job Summary:
Design and develop novel computational algorithms and statistical methods and design corresponding data architectures to analyze large and complex data for a variety of challenging health and healthcare problems.
Duties:
1. Develop advanced algorithms and create software applications to perform analytics on large-scale and complex data for real-world health and healthcare applications. Promote a climate conducive to intellectual curiosity, creativity, innovation, collaboration, growth, life-long learning, productivity, and respect for others.
2. Be a leader in data science and analytics efforts. Provide input to team leads and other analysts to help define the team’s vision, design and execute analytic projects from start-to-finish, inform technical direction, and support reporting of accomplishments. Assure milestones are met on time and be responsive to sponsor needs. Build collaboration among health stakeholders, working across organizations to bring consensus to achieve objectives. Become a sought out resource by consistently producing high-quality results.
3. Document and present papers to communicate impact of research and engage with sponsor and stakeholder community.
4. Communicate often and effectively with team, sponsors and JHU/APL leadership. Participate in the data science, analytics and APL community. Take advantage of collaboration and innovation opportunities to help ensure success of APL’s mission.


Note: This job summary and listing of duties is for the purpose of describing the position and its essential functions at time of hire and may change over time.


Qualifications - External
Required Qualifications:
• M.S. in Computer Science, Information Science, Mathematics, Statistics, Data Science, or related field.
• 5-10+ years of experience.
• Demonstrated ability in selecting, developing, and applying machine learning and data mining algorithms.
• Working knowledge of modern large-scale data systems and architectures; ability to manage and manipulate large disparate data sets.
• Experience with graph analytics.
• Experience with pattern recognition, statistical analysis and machine learning; fluent, with hands-on experience with some of the following implementation languages: Python, R, Matlab, JAVA, or C++/C;
• Excellent interpersonal skills and outstanding written and oral communication skills; ability to articulate complex technical issues effectively and appropriately for a wide range of audiences.
• Strong problem solving skills strong analytical and organizational skills; ability to work independently or within a group.
• Must be eligible for Secret clearance requiring background investigation.


Desired Qualifications:
• Ph.D. in the disciplines listed above.
• Demonstrated capability to carry out original machine learning research beyond incremental application of existing techniques, as evidenced by publications in premier conferences.
• Research records that illustrate in-depth understanding of underlying theory necessary to develop novel algorithms to address unique real-world challenges.
• Extensive experience in developing and applying machine learning algorithms in health and healthcare application settings.
• Research experience with advanced machine learning research topics.
• Experience with data–driven predictive model development, unstructured text mining, natural language processing, and anomaly and novelty detection.
• A strong technical writing background.
• Experience in medicine, emergency response, or public health applications and/or exposure to clinical information systems and medical data standards.


Special Working Conditions: Some travel to local sponsor sites and support for field testing may be required.



Security: Applicant selected will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.


Equal Employment Opportunity: Johns Hopkins University/Applied Physics Laboratory (APL) is an Equal Opportunity/Affirmative Action employer that complies with Title IX of the Education Amendments Acts of 1972, as well as other applicable laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Wallethub
  • No office location

Company details


WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We’re looking for a highly skilled and motivated Senior Systems Administrator for a full-time, permanent position.


Requirements


You are the ideal candidate for this job if you have:



  • At least 5 years of experience in supporting AWS based production infrastructure.

  • Bachelor's or Master’s degree in Computer Science or equivalent work experience.

  • 3+ years of experience administering UNIX/Linux server required or equivalent work experience.

  • 3+ years of experience with Apache, Tomcat and any other Java application servers and relational database servers like MySQL (LAMP experience is highly preferred).

  • Experience with monitoring tools like Nagios, tripwire, aide etc and other custom monitoring tools.

  • Experience with configuring and securing mission critical production servers.

  • Experience with configuring load balancers and data.

  • Experience in Shell Scripting or Perl, with experience implementing automation and monitoring using shell scripting.

  • Experience in analysis and system performance tuning.

  • Critical thinking skills in a complex IT environment to analyze, troubleshoot, and resolve problems without direction.

  • Outstanding organizational skills and the ability to handle multiple projects simultaneously while meeting deadlines.

  • Excellent verbal and written communication skills.

  • Willingness to work hard (50 hrs per week).


Responsibilities



  • Ensure proper security, monitoring, alerting and reporting for the infrastructure and be the on-call for production servers.

  • Develop security monitoring and other tools to ensure the integrity and availability of our applications, server resources, reviewing system and application logs.

  • Work with the incident team to diagnose and recover from hardware or software failures working with or as the Incident Commander to coordinate and communicate with our internal customers.

  • Assist project teams with technical issues during development efforts.

  • Gather system requirements and support several project teams in evolving, testing and rolling-out new products and services, then transitioning the site or product to post launch operations activities throughout life of the product or service.

  • Work with the application development team and other systems engineers to make improvements to current infrastructure.

  • Document processes and procedures and follow a formal change management procedure.


Our Offer



  • Very competitive salary based on prior experience and qualifications

  • Potential for stock options after the first year

  • Raise and advancement opportunities based on periodic evaluations

  • Health benefits (in case you will be working from our office in Washington DC)

  • Visa sponsorship



Note: This position requires candidates to be living in the US. The position can be performed remotely if you don't live in the Washington DC area.



More about WalletHub


WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:


1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.


2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.


3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.


In addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.



How to Apply


To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to jobs.dev@wallethub.com

Wallethub
  • No office location

Company details


WalletHub is one of the leading personal finance destinations in the US and rapidly growing. We’re looking for a highly skilled and motivated Senior Systems Administrator for a full-time, permanent position.


Requirements


You are the ideal candidate for this job if you have:



  • At least 5 years of experience in supporting AWS based production infrastructure.

  • Bachelor's or Master’s degree in Computer Science or equivalent work experience.

  • 3+ years of experience administering UNIX/Linux server required or equivalent work experience.

  • 3+ years of experience with Apache, Tomcat and any other Java application servers and relational database servers like MySQL (LAMP experience is highly preferred).

  • Experience with monitoring tools like Nagios, tripwire, aide etc and other custom monitoring tools.

  • Experience with configuring and securing mission critical production servers.

  • Experience with configuring load balancers and data.

  • Experience in Shell Scripting or Perl, with experience implementing automation and monitoring using shell scripting.

  • Experience in analysis and system performance tuning.

  • Critical thinking skills in a complex IT environment to analyze, troubleshoot, and resolve problems without direction.

  • Outstanding organizational skills and the ability to handle multiple projects simultaneously while meeting deadlines.

  • Excellent verbal and written communication skills.

  • Willingness to work hard (50 hrs per week).


Responsibilities



  • Ensure proper security, monitoring, alerting and reporting for the infrastructure and be the on-call for production servers.

  • Develop security monitoring and other tools to ensure the integrity and availability of our applications, server resources, reviewing system and application logs.

  • Work with the incident team to diagnose and recover from hardware or software failures working with or as the Incident Commander to coordinate and communicate with our internal customers.

  • Assist project teams with technical issues during development efforts.

  • Gather system requirements and support several project teams in evolving, testing and rolling-out new products and services, then transitioning the site or product to post launch operations activities throughout life of the product or service.

  • Work with the application development team and other systems engineers to make improvements to current infrastructure.

  • Document processes and procedures and follow a formal change management procedure.


Our Offer



  • Very competitive salary based on prior experience and qualifications

  • Potential for stock options after the first year

  • Raise and advancement opportunities based on periodic evaluations

  • Health benefits (in case you will be working from our office in Washington DC)

  • Visa sponsorship


Note: This position requires candidates to be living in the US. The position can be performed remotely if you don't live in the Washington DC area.


More about WalletHub


WalletHub is a high-growth fintech company based in Washington, DC that is looking for talented, hard-working individuals to help us reshape personal finance. More specifically, we are harnessing the power of data analytics and artificial intelligence to build the brain of a smart financial advisor, whose services we’re offering to everyone for free. The WalletHub brain enables users to make better financial decisions in a fraction of the time with three unique features:


1) Customized Credit-Improvement Tips: WalletHub identifies improvement opportunities and guides you through the necessary corrections.


2) Personalized Money-Saving Advice: WalletHub’s savings brain constantly scours the market for load-lightening opportunities, bringing you only the best deals.


3) Wallet Surveillance: Personal finance isn’t as scary with 24/7 credit monitoring providing backup, notifying you of important credit-report changes.


In addition to the valuable intelligence the brain provides, WalletHub is the first and only service to offer free credit scores and full credit reports that are updated on a daily basis absent of user interaction, rather than weekly or monthly and only when a user logs in. Some other services hang their hats on free credit scores and reports, yet they’re still inferior to what WalletHub considers minor pieces to a much larger puzzle.


How to Apply


To get our attention, all you need to do is send us a resume. If we believe that you will be a good match, we'll contact you to arrange the next steps. You can apply directly on Stackoverflow or email your application to jobs.dev@wallethub.com

Freeport-McMoRan
  • Phoenix, AZ

Provide management and leadership to the Big Data project teams. Directs initiatives in the Freeport-McMoRan Big Data program. Provides analytical direction, expertise and support for the Big Data program; this includes project leadership for initiatives, coordination with business subject matter experts and travel to mine sites. This will be a global role that will coordinate with site and corporate stakeholders to ensure global alignment on service and project delivery. The role will also work with business operations management to ensure the program is focusing in areas most beneficial to the company.


  • Work closely with business, engineering and technology teams to develop solution to data-intensive business problems
  • Supervise internal and external science teams
  • Perform quality control of deliverables
  • Prepare reports and presentations, and communicate with Executives
  • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
  • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
  • Perform other duties as required


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and eight (8) years of relevant work experience, OR
  • Masters degree in an analytical field (statistics, mathematics, etc.) and six (6) years of relevant work experience, OR
  • Proven track record of collaborating with business partners to translate business problems and needs into data-based analytical solutions
  • Proficient in predictive modeling:
  • Linear and logistic regression
  • Tree based techniques (CART, Random Forest, Gradient Boosting)
  • Time-Series Analysis
  • Anomaly detection
  • Survival Analysis
  • Strong Experience with SQL/Hive environments
  • Skilled with R and/or Python analysis environments
  • Experience with Big Data tools for machine learning, R, Hive, Python
  • Good communication skills


Preferred Qualifications


  • Doctorate degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards
  • Must be able to work in a potentially stressful environment
  • Position is in busy, non-smoking office located in downtown Phoenix, AZ
  • Location requires mobility in an office environment; each floor is accessible by elevator
  • Occasionally work will be performed in a mine, outdoor or manufacturing plant setting
  • Must be able to frequently sit, stand and walk
  • Must be able to frequently lift and carry up to ten (10) pounds
  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required
  • Freeport-McMoRan promotes a drug/alcohol-free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as allowed by applicable State laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900606 

Freeport-McMoRan
  • Phoenix, AZ

Supports the activities for all Freeport-McMoRan Big Data programs. Provides analytical support and expertise for the Big Data program; this includes coordination with business subject matter experts and travel to mine sites. The role will provide analyses and statistical models as part of Big Data projects, and may be the project lead on analytics initiatives. The role will also provide visualizations and descriptive results of the analysis. This will be a global role that will coordinate with site and corporate stakeholders to ensure alignment on project delivery.


    Work
    • closely with business, engineering and technology teams to analyze data-intensive business problems.
    • Research and develop appropriate statistical methodology to translate these business problems into analytics solutions
    • Perform quality control of deliverables
    • Develop visualizations of results and prepare deliverable reports and presentations, and communicate with business partners
    • Provide thought leadership in algorithmic and process innovations, and creativity in solving unconventional problems
    • Develop, implement and maintain analytical solutions in the Big Data environment
    • Work with onshore and offshore resources to implement and maintain analytical solutions
    • Perform variable selection and other standard modeling tasks
    • Produce model performance metrics
    • Use statistical and programming tools such as R and Python to analyze data and develop machine-learning models
    • Perform other duties as requested


Minimum Qualifications


  • Bachelors degree in an analytical field (statistics, mathematics, etc.) and five (5) years of relevant work experience, OR 
  • Masters degree in an analytical field (statistics, mathematics, etc.) and three (3) years of relevant work experience

  • Proven track record of collaborating with business partners to translate operational problems and needs into data-based analytical solutions

  • Proficient in predictive modeling:

  • Linear and logistic regression

  • Tree based techniques (CART, Random Forest, Gradient Boosting)

  • Time-Series Analysis

  • Anomaly detection

  • Survival Analysis

  • Strong experience with SQL/Hive environments

  • Skilled with R and/or Python analysis environments

  • Experience with Big Data tools for machine learning, R, Hive, Python

  • Good communication skills


Preferred Qualifications


  • Masters degree in an analytical field
  • Willing and able to travel 20-30% or more


Criteria/Conditions


  • Ability to understand and apply verbal and written work and safety-related instructions and procedures given in English
  • Ability to communicate in English with respect to job assignments, job procedures, and applicable safety standards

  • Must be able to work in a potentially stressful environment

  • Position is in busy, non-smoking office located in Phoenix, AZ

  • Location requires mobility in an office environment; each floor is accessible by elevator and internal staircase

  • Occasionally work may be performed in a mine, outdoor or manufacturing plant setting

  • Must be able to frequently sit, stand and walk

  • Must be able to frequently lift and carry up to ten (10) pounds

  • Personal protective equipment is required when performing work in a mine, outdoor, manufacturing or plant environment, including hard hat, hearing protection, safety glasses, safety footwear, and as needed, respirator, rubber steel-toe boots, protective clothing, gloves and any other protective equipment as required

  • Freeport-McMoRan promotes a drug/alcohol free work environment through the use of mandatory pre-employment drug testing and on-going random drug testing as per applicable State Laws


Freeport-McMoRan has reviewed the jobs at its various office and operating sites and determined that many of these jobs require employees to perform essential job functions that pose a direct threat to the safety or health of the employees performing these tasks or others. Accordingly, the Company has designated the following positions as safety-sensitive:


  • Site-based positions, or positions which require unescorted access to site-based operational areas, which are held by employees who are required to receive MSHA, OSHA, DOT, HAZWOPER and/or Hazard Recognition Training; or
  • Positions which are held by employees who operate equipment, machinery or motor vehicles in furtherance of performing the essential functions of their job duties, including operating motor vehicles while on Company business or travel (for this purpose motor vehicles includes Company owned or leased motor vehicles and personal motor vehicles used by employees in furtherance of Company business or while on Company travel); or
  • Positions which Freeport-McMoRan has designated as safety sensitive positions in the applicable job or position description and which upon further review continue to be designated as safety-sensitive based on an individualized assessment of the actual duties performed by a specifically identified employee.


Equal Opportunity Employer/Protected Veteran/Disability


Requisition ID
1900604 

Man AHL
  • London, UK

The Role


As a Quant Platform Developer at AHL you will be building the tools, frameworks, libraries and applications which power our Quantitative Research and Systematic Trading. This includes responsibility for the continued success of “Raptor”, our in-house Quant Platform, next generation Data Engineering, and evolution of our production Trading System as we continually expand the markets and types of assets we trade, and the styles in which we trade them. Your challenges will be varied and might involve building new high performance data acquisition and processing pipelines, cluster-computing solutions, numerical algorithms, position management systems, visualisation and reporting tools, operational user interfaces, continuous build systems and other developer productivity tools.


The Team


Quant Platform Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering – even Classics - but what unifies us is a passion for technology and writing high-quality code.



Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: “Quant Platform Developers” otherwise known as our “Core Techs”, and “Quant Developers” which we often refer to as “Sector Techs”. We use the term “Sector Tech” because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests.


Our Technology


Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.



We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.


Working Here


AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do.  We are actively engaged with the broader technology community.



  • We host and sponsor London’s PyData and Machine Learning Meetups

  • We open-source some of our technology. See https://github.com/manahl

  • We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manahltech



We’re fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work.



  • We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches

  • We have annual away days and off-sites for the whole team

  • We have a canteen with a daily allowance for breakfast and lunch, and an on-site bar for in the evening

  • As well as PC’s and Macs, in our office you’ll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano.



We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.


Technology and Business Skills


At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists.



Essential



  • Exceptional technology skills; recognised by your peers as an expert in your domain

  • A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches

  • Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++

  • Proficient on Linux platforms with knowledge of various scripting languages

  • Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB

  • Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React

  • Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.



Advantageous



  • An excellent understanding of financial markets and instruments

  • Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank

  • Expertise in building distributed systems with service-based or event-driven architectures, and concurrent processing

  • A knowledge of modern practices for data engineering and stream processing

  • An understanding of financial market data collection and processing

  • Experience of web based development and visualisation technology for portraying large and complex data sets and relationships

  • Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms.


Personal Attributes



  • Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university

  • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others

  • Demonstrable passion for technology e.g. personal projects, open-source involvement

  • Intellectually robust with a keenly analytic approach to problem solving

  • Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities

  • Focused on delivering value to the business with relentless efforts to improve process

  • Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike

  • Confident communicator; able to argue a point concisely and deal positively with conflicting views.

Zalando SE
  • Berlin, Germany

Full Stack Engineer (Java/React) for Retail Operations




Zalando SE










ABOUT THE TEAM


Department: Retail Operations, Team Retail Centre


Reports to: Engineering Lead


Team Size: >10



As a Full Stack Engineer in the Team Retail Center, you will build the central component that connects all department components and ensures that Zalando’s store has the right product available at the right time. You will build and own all centralized services for the department and your systems will be used by 1000+ internal users and 2000+ suppliers every day.



WHERE YOUR EXPERTISE IS NEEDED 



  • Meet business needs while maintaining scalable architecture and keeping dependable consistency of business objects

  • Own the whole development cycle - from architecture design to implementation and testing and as well maintenance of our products

  • Work together with the developers, UX, product-management and other teams to provide the best experience for our customers

  • Collaborate with other technology and business teams to ensure that our solutions are well integrated in the larger context of Zalando.



WHAT WE’RE LOOKING FOR



  • 4+ years of experience in dedicated frontend projects with modern frameworks like React/Preact. Experience in ECMAScript, HTML5, SCSS and modern stack like Babel, Webpack

  • 4+ years of experience in Java (with no fear of Scala or Kotlin) and with relevant frameworks (e.g., Spring/Play)

  • Ability to write well formatted, structured and clean code and comfortably work with backend and DevOps technologies such as NodeJS 8+, Docker, Kubernetes

  • Enthusiasm for direct and frequent interaction with the users and interest in discovering opportunities collaborating closely with UX, Product and other colleagues



WHAT WE OFFER



  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, 100+ internal guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events

  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings

  • Extensive onboarding, mentoring and personal development opportunities and access to an international team of experts

  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available only in select locations)


We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


ABOUT ZALANDO


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.


At Retail Operations, we provide the technological backbone that drives our core retail business on the supplier-facing side. We build state-of-the art B2B & enterprise systems that connect Zalando seamlessly with our suppliers - from onboarding product catalogues to creating the best online multimedia content, and from aligning purchase quantities to scheduling deliveries into our warehouses. To our 2000+ suppliers, we offer easy ways to integrate and collaborate with Zalando - through our supplier portal, standard EDI and web-based REST APIs. To our 1000+ internal users we offer highly automated processes that allow them to focus on everything machines cannot do on their own. To do this, we build state-of-the systems using a variety of technologies, such as HTML/JS, Java, Scala, Kotlin and Python - all as cloud-based microservices.


For more information about Retail Operations Business Unit, click here.


Please note that all applications must be completed using the online form - we do not accept applications via e-mail.

FCA Fiat Chrysler Automobiles
  • Detroit, MI

Fiat Chrysler Automobiles is looking to fill the full-time position of a Data Scientist. This position is responsible for delivering insights to the commercial functions in which FCA operates.


The Data Scientist is a role in the Business Analytics & Data Services (BA) department and reports through the CIO. They will play a pivotal role in the planning, execution  and delivery of data science and machine learning-based projects. The bulk of the work with be in areas of data exploration and preparation, data collection and integration, machine learning (ML) and statistical modelling and data pipe-lining and deployment.

The newly hired data scientist will be a key interface between the ICT Sales & Marketing team, the Business and the BA team. Candidates need to be very much self-driven, curious and creative.

Primary Responsibilities:

    • Problem Analysis and Project Management:
      • Guide and inspire the organization about the business potential and strategy of artificial intelligence (AI)/data science
      • Identify data-driven/ML business opportunities
      • Collaborate across the business to understand IT and business constraints
      • Prioritize, scope and manage data science projects and the corresponding key performance indicators (KPIs) for success
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
      • Generate and test hypotheses about the underlying mechanics of the business process.
      • Network with domain experts to better understand the business mechanics that generated the data.
    • Data Collection and Integration:
      • Understand new data sources and process pipelines. Catalog and document their use in solving business problems.
      • Create data pipelines and assets the enable more efficiency and repeatability of data science activities.
    • Data Exploration and Preparation:
      • Apply statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), principal components analysis (PCA)
    • Machine Learning and Statistical Modelling:
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks
      • Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness
    • Operationalization:
      • Collaborate with ML operations (MLOps), data engineers, and IT to evaluate and implement ML deployment options
      • (Help to) integrate model performance management tools into the current business infrastructure
      • (Help to) implement champion/challenger test (A/B tests) on production systems
      • Continuously monitor execution and health of production ML models
      • Establish best practices around ML production infrastructure
    • Other Responsibilities:
      • Train other business and IT staff on basic data science principles and techniques
      • Train peers on specialist data science topics
      • Promote collaboration with the data science COE within the organization.

Basic Qualifications:

    • A bachelors  in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience such as, economics, engineering and physics] is required. Alternate experience and education in equivalent areas such as economics, engineering or physics, is acceptable. Experience in more than one area is strongly preferred.
    • Candidates should have three to six years of relevant project experience in successfully launching, planning, executing] data science projects. Preferably in the domains of automotive or customer behavior prediction.
    • Coding knowledge and experience in several languages: for example, R, Python, SQL, Java, C++, etc.
    • Experience of working across multiple deployment environments including cloud, on-premises and hybrid, multiple operating systems and through containerization techniques such as Docker, Kubernetes, AWS Elastic Container Service, and others.
    • Experience with distributed data/computing and database tools: MapReduce, Hadoop, Hive, Kafka, MySQL, Postgres, DB2 or Greenplum, etc.
    • All candidates must be self-driven, curious and creative.
    • They must demonstrate the ability to work in diverse, cross-functional teams.
    • Should be confident, energetic self-starters, with strong moderation and communication skills.

Preferred Qualifications:

    • A master's degree or PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent.
    • Experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
    • Knowledge and experience in statistical and data mining techniques: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
    • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
    • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines.
    • Knowledge of industry standard BA tools, including Cognos, QlikView, Business Objects, and other tools that could be used for enterprise solutions
    • Should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire and explain analytics capabilities and techniques to the organization.
Burnett Specialists / Choice Specialists
  • Houston, TX

Medical Economics & Informatics Analyst

SUMMARY

This position is responsible for supporting business analysis, utilization analysis, performance results monitoring, reports development, and analytical support within the Medical Economics and Informatics Department.

MAJOR RESPONSIBILITIES

Extract, manage, and analyze operational, claims and performance data to identify trends, patterns, insights, and outliers within data.

Translates transactional data into client ready deliverables using visualization tools available, such as Tableau.

Drives a repeatable analytic process, and consistently deliver best-in-class reporting to multiple business stakeholders.

Studies client specific data at multiple geographical and clinical levels to identify utilization and cost trends and provide recommendations and insights.

Contributes in analyzing and developing reports on client specific utilization trends, program savings and performance to be shared with internal Client Services team.

Provides analytical and technical support for development and QA of Client Level Dashboards and other recurrent reporting.

Collaborates on design/development/automatization of Standard Client Reporting Package, including dashboards.

Contributes on data deliverables & takeaways for Quarterly Business Review meetings.

Responsible for ad-hoc Client and Markets requests for mature programs.

Collaborates on processes to integrate new client data (claims/membership) and perform quality control tests.

QUALIFICATIONS & REQUIREMENTS

·         Bachelor Degree or higher in Healthcare Informatics, Health Care Statistics, Public Health Economics, Epidemiology, Mathematics, Computer Science/IT, related field or equivalent experience.

·         3+ years experience in the Healthcare Industry and/or Managed Care Organizations

·         Experience in analytics/informatics and report development is required

·         Experience using Medical Claims data (medical cost, utilization, cost benefit analysis, etc.) is required

·         Experience with Pharmacy claims data and healthcare records is preferred

·         1+ years experience with analytics in data warehouse environment

·         Experience using SQL for report writing and data management

      Direct experience in business intelligence applications, advanced data visualization tools and/or statistical analysis software (such as: SQL/MySQL/R, SAS, Tableau, Minitab, Matlab, Crystal Reports, Business Objects Desktop (Web based) Intelligence, etc.)

      Intermediate to advanced skills with Microsoft Office tools (MS Word, Excel, PowerPoint, Visio, Project) necessary to document, track and present information related to company program/products/clients

      Knowledge of healthcare financial business cycle, healthcare quality reporting and analysis, benchmarking is required

      Knowledge of health system functions, terminology and standard ICD-10 and CPT coding systems is highly desirable

      Excellent critical and analytical thinking skills are highly desirable

      Ability to compile information and prepare reports that are easily translatable for client delivery

Recursion
  • Salt Lake City, UT

At Recursion we combine experimental biology, automation, and artificial intelligence to quickly and efficiently identify treatments for human diseases. We’re transforming drug discovery into a data science problem and to do that we’re building a platform for rapid biological experimentation, data generation, automated analysis, model training, and prediction.


THE PROBLEMS YOU’LL SOLVE


As a Machine Learning Engineer, you'll report to the VP of Engineering and will work with others on the data, machine learning, and engineering teams to build the infrastructure and systems to enable both ML prototyping and production grade deployment of ML solutions that lift our drug discovery platform to new levels of effectiveness and efficiency. We are looking for experienced Machine Learning Engineers who value experimentation and the rigorous use of the scientific method, high collaboration across multiple functions, and intense curiosity driving them to keep our systems cutting edge. In this role you will:



  • Build, scale, and operate compute clusters for deep learning.You’ll be a part of a team responsible for the ML infrastructure, whether that be large-scale on-prem GPU clusters or cloud-based TPU pods.

  • Create a world-class ML research platform.You’ll work with Data Scientists, ML Researchers, and Systems and Data Engineers to create an ML platform that allows them to efficiently prepare hundreds of terabytes of data for training and processing, train cutting-edge deep learning models, backtest them on thousands of past experiments, and deploy working solutions to production. Examples of ML platforms like this are Uber’s Michelangelo and Facebook’s FBLearner Flow.

  • Be a mentor to peers. You will share your technical knowledge and experiences, resulting in an increase in their productivity and effectiveness.


THE EXPERIENCE YOU’LL NEED



  • An ability to be resourceful and collaborative in order to complete large projects. You’ll be working cross-functionally to build these systems and must always have the end (internal) user in mind.

  • Experience implementing, training, and evaluating deep learning models using modern ML frameworks through collaboration with others, reading of ML papers, or primary research.

  • A demonstration of accelerating ML research efforts through improved systems, processes and frameworks.

  • A track record of learning new technologies as needed to get things done. Our current tech stack uses Python and the pydata libraries, TensorFlow, Keras, Kubernetes + Docker, Big Query, and other cloud services provided by Google Cloud Platform.

  • Biology background is not necessary, but intellectual curiosity is a must!


THE PERKS YOU’LL ENJOY



  • Coverage of health, vision, and dental insurance premiums (in most cases 100%)

  • 401(k) with generous matching (immediate vesting)

  • Stock option grants

  • Two one-week paid company closures (summer and winter) in addition to flexible, generous vacation/sick leave

  • Commuter benefit and vehicle parking to ease your commute

  • Complimentary chef-prepared lunches and well-stocked snack bars

  • Generous paid parental leave for birth, non-birth, and adoptive parents

  • Fully-paid gym membership to Metro Fitness, located just feet away from our new headquarters

  • Gleaming new 100,000 square foot headquarters complete with a 70-foot climbing wall, showers, lockers, and bike parking



WHAT WE DO


We have raised over $80M to apply machine learning to one of the most unique datasets in existence - over a petabyte of imaging data spanning more than 10 billion cells treated with hundreds of thousands of different biological and chemical perturbations, generated in our own labs - in order to find treatments for hundreds of diseases. Our long term mission is to decode biology to radically improve lives and we want to understand biology so well that we can fix most things that go wrong in our bodies. Our data scientists, machine learning researchers and engineers work on some of the most challenging and interesting problems in computational drug discovery, and collaborate with some of the brightest minds in the deep learning community (Yoshua Bengio is one of our advisors), who help our machine learning team design novel ways of tackling these problems.



Recursion is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Recursion strictly prohibits and does not tolerate discrimination against applicants because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, pregnancy, gender (including gender nonconformity and status as a transgender individual), age, physical or mental disability, citizenship, past, current, or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.

Signify Health
  • Dallas, TX

Position Overview:

Signify Health is looking for a savvy Data Engineer to join our growing team of deep learning specialists. This position would be responsible for evolving and optimizing data and data pipeline architectures, as well as, optimizing data flow and collection for cross-functional teams. The Data Engineer will support software developers, database architects, data analysts, and data scientists. The ideal candidate would be self-directed, passionate about optimizing data, and comfortable supporting the Data Wrangling needs of multiple teams, systems and products.

If you enjoy providing expert level IT technical services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools while working closely with IT team members, data scientists, and data engineers to build our next generation of AI-driven solutions, we will give you the opportunity to grow personally and professionally in a dynamic environment. Our projects are built on cooperation and teamwork, and you will find yourself working together with other talented, passionate and dedicated team member, all working towards a shared goal.

Essential Job Responsibilities:

  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing data models for greater scalability, etc.
  • Leverage Azure for extraction, transformation, and loading of data from a wide variety of data sources in support of AI/ML Initiatives
  • Design and implement high performance data pipelines for distributed systems and data analytics for deep learning teams
  • Create tool-chains for analytics and data scientist team members that assist them in building and optimizing AI workflows
  • Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management capabilities
  • Communicate results and ideas to key decision makers in a concise manner
  • Comply with applicable legal requirements, standards, policies and procedures including, but not limited to the Compliance requirements and HIPAA.


Qualifications:Education/Licensing Requirements:
  • High school diploma or equivalent.
  • Bachelors degree in Computer Science, Electrical Engineer, Statistics, Informatics, Information Systems, or another quantitative field. or related field or equivalent work experience.


Experience Requirements:
  • 5+ years of experience in a Data Engineer role.
  • Experience using the following software/tools preferred:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
    • Experience with AWS or Azure cloud services.
    • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
    • Experience with object-oriented/object function scripting languages: Python, Java, C#, etc.
  • Strong work ethic, able to work both collaboratively, and independently without a lot of direct supervision, and solid problem-solving skills
  • Must have strong communication skills (written and verbal), and possess good one-on-one interpersonal skills.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
  • 2 years of experience in data modeling, ETL development, and Data warehousing
 

Essential Skills:

  • Fluently speak, read, and write English
  • Fantastic motivator and leader of teams with a demonstrated track record of mentoring and developing staff members
  • Strong point of view on who to hire and why
  • Passion for solving complex system and data challenges and desire to thrive in a constantly innovating and changing environment
  • Excellent interpersonal skills, including teamwork and negotiation
  • Excellent leadership skills
  • Superior analytical abilities, problem solving skills, technical judgment, risk assessment abilities and negotiation skills
  • Proven ability to prioritize and multi-task
  • Advanced skills in MS Office

Essential Values:

  • In Leadership Do whats right, even if its tough
  • In Collaboration Leverage our collective genius, be a team
  • In Transparency Be real
  • In Accountability Recognize that if it is to be, its up to me
  • In Passion Show commitment in heart and mind
  • In Advocacy Earn trust and business
  • In Quality Ensure what we do, we do well
Working Conditions:
  • Fast-paced environment
  • Requires working at a desk and use of a telephone and computer
  • Normal sight and hearing ability
  • Use office equipment and machinery effectively
  • Ability to ambulate to various parts of the building
  • Ability to bend, stoop
  • Work effectively with frequent interruptions
  • May require occasional overtime to meet project deadlines
  • Lifting requirements of
Visa
  • Austin, TX
Company Description
Common Purpose, Uncommon
Opportunity. Everyone at Visa works with one goal in mind making sure that Visa is the best way to pay and be paid, for everyone everywhere. This is our global vision and the common purpose that unites the entire Visa team. As a global payments technology company, tech is at the heart of what we do: Our VisaNet network processes over 13,000 transactions per second for people and businesses around the world, enabling them to use digital currency instead of cash and checks. We are also global advocates for financial inclusion, working with partners around the world to help those who lack access to financial services join the global economy. Visas sponsorships, including the Olympics and FIFA World Cup, celebrate teamwork, diversity, and excellence throughout the world. If you have a passion to make a difference in the lives of people around the
world, Visa offers an uncommon opportunity to build a strong, thriving career. Visa is fueled by our team of talented employees who continuously raise the bar on delivering the convenience and security of digital currency to people all over the world. Join our team and find out how Visa is everywhere you want to
be.
Job Description
The ideal candidate will be responsible for the following to:
  • Perform Hadoop Administration on Production Hadoop clusters
  • Perform Tuning and Increase Operational efficiency on a continuous basis
  • Monitor health of the platforms and Generate Performance Reports and Monitor and provide continuous improvements
  • Working closely with development, engineering and operation teams, jointly work on key deliverables ensuring production scalability and stability
  • Develop and enhance platform best practices
  • Ensure the Hadoop platform can effectively meet performance & SLA requirements
  • Responsible for support of Hadoop Production environment which includes Hive, YARN, Spark, Impala, Kafka, SOLR, Oozie, Sentry, Encryption, Hbase, etc.
  • Perform optimization capacity planning of a large multi-tenant cluster
Qualifications
  • Minimum 3 years of work experience in maintaining, optimization, issue resolution of Hadoop clusters, supporting Business users and Batch
  • Experience in Configuring and setting up Hadoop clusters and provide support for - aggregation, lookup & fact table creation criteria
  • Map Reduce tuning, data node, NN recovery etc.
  • Experience in Linux / Unix OS Services, Administration, Shell, awk scripting
  • Experience in building and scalable Hadoop applications
  • Experience in Core Java, Hadoop (Map Reduce, Hive, Pig, HDFS, H-catalog, Zookeeper and OOzie)
  • Hands-on Experience in SQL (Oracle ) and No SQL Databases (HBASE/Cassandra/Mongo DB)
  • Excellent oral and written communication and presentation skills, analytical and problem solving skills
  • Self-driven, Ability to work independently and as part of a team with proven track record developing and launching products at scale
  • Minimum of four year technical degree required
  • Experience on Cloudera distribution preferred
  • Hands-on Experience as a Linux Sys Admin is a plus
  • Knowledge on Spark and Kafka is a plus.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15232V
Awair
  • San Francisco, CA
  • Salary: $80k - 180k

Us?


 We are looking for an experienced backend software engineer to join a stellar team working on our software platform that brings health and safety into the world of the smart home and real estate. You will be a key contributor to our growth in launching new SaaS products as well as scaling our software infrastructure to meet the growing demands for our monitoring products and control solutions in the market.


Working directly with our Director of Software Engineering and the rest of our software engineering team, you will be collaborating with our frontend, firmware and hardware engineers as well as designers to build the best indoor environment management platform there is!


Based in our office in SoMa, San Francisco, we value software craftspeople and foster a friendly collaborative atmosphere.


You?


You love system architecture. You love getting things done. You’re super smart and picky about finding the right role. You’re experienced, but you also welcome the toughest challenges and like to learn new things.


Responsibilities



  • Build robust and scalable software in Scala

  • Design services and system architecture with other team members

  • Help improve the code quality through writing unit tests, automation and performing code reviews

  • Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products

  • Work with the product teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution

  • Dive into difficult problems and successfully deliver results on schedule


Requirements



  • 2+ years of recent hands-on coding and software design (preferably in Scala)

  • Extensive experience with building production-grade applications and services (preferably in Scala)

  • Must have cloud experience in production (Google Cloud experience being more preferable)

  • Good understanding of Kubernetes and Docker and experience of using them in production

Awair
  • San Francisco, CA
  • Salary: $90k - 160k

Us?


 We are looking for an experienced backend software engineer to join a stellar team working on our software platform that brings health and safety into the world of the smart home and real estate. You will be a key contributor to our growth in launching new SaaS products as well as scaling our software infrastructure to meet the growing demands for our monitoring products and control solutions in the market.


Working directly with our Director of Software Engineering and the rest of our software engineering team, you will be collaborating with our frontend, firmware and hardware engineers as well as designers to build the best indoor environment management platform there is!


Based in our office in SoMa, San Francisco, we value software craftspeople and foster a friendly collaborative atmosphere.


You?


You love system architecture. You love getting things done. You’re super smart and picky about finding the right role. You’re experienced, but you also welcome the toughest challenges and like to learn new things.


Responsibilities



  • Build robust and scalable software in Scala

  • Design services and system architecture with other team members

  • Help improve the code quality through writing unit tests, automation and performing code reviews

  • Participate in brainstorming sessions and contribute ideas to our technology, algorithms and products

  • Work with the product teams to understand end-user requirements, formulate use cases, and then translate that into a pragmatic and effective technical solution

  • Dive into difficult problems and successfully deliver results on schedule


Requirements



  • 2+ years of recent hands-on coding and software design (preferably in Scala)

  • Extensive experience with building production-grade applications and services (preferably in Scala)

  • Must have cloud experience in production (Google Cloud experience being more preferable)

  • Good understanding of Kubernetes and Docker and experience of using them in production

Hulu
  • Santa Monica, CA

WHAT YOU’LL DO



  • Build robust and scalable micro-services

  • End to end ownership of backend services: Ideate, review design, build, code-review, test, load-test, launch, monitor performance

  • Identify opportunities to optimize ad delivery algorithm – measure and monitor ad-break utilization for ad count and ad duration.

  • Work with product team to translate requirements into well-defined technical implementation

  • Define technical and operational KPIs to measure ad delivery health

  • Build Functional and Qualitative Test frameworks for ad server

  • Challenge our team and software to be even better


WHAT TO BRING



  • BS or MS in Computer Science/Engineering

  • 7+ years of relevant software engineering experience

  • Strong analytical skills

  • Strong programming (Java/C#/C++ or other related programming languages) and scripting skills

  • Great communication, collaboration skills and a strong teamwork ethic

  • Strive for excellence


NICE-TO-HAVES



  • Experience with non-relational database technologies (MongoDB, Cassandra, DynamoDB)

  • Experience with Redis and/or MemCache

  • Experience with Apache Kafka and/or Kinesis

  • AWS

  • Big Data technologies and data warehouses – Spark, Hadoop, Redshift

Zalando SE
  • Berlin, Germany

ABOUT THE TEAM


Department: Digital Experience


Reports to: Engineering Lead, Fundamentals


Team Size: <10


Recruiter Name, Email: cristiana.martins@zalando.de



As a Full Stack Engineer in the Media and Translation team you will be responsible for the development and operation of the Zalando Media Services and Translation tooling. You will be responsible for developing and testing new features, as well as optimizing and monitoring the existing platform. In addition, you will work closely with System Architects and Designers to prepare migration and optimization plans.



WHERE YOUR EXPERTISE IS NEEDED



  • Create highly scalable solutions and own the entire development cycle - from architecture design to testing, implementation and maintenance

  • Migration of existing services towards a centralized solution

  • Own your code and decide on the technologies and tools to deliver

  • Operate large-scale applications on cloud (AWS or Kubernetes), based on a microservices architecture



WHAT WE'RE LOOKING FOR



  • Deep knowledge of Frontend and Backend development (knowledge in GoLang is a plus)

  • Pragmatic and curious, find elegant solutions to solve a given customer problem

  • Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services

  • Knowledge of microservices and cloud architectures as well as experience with cloud platforms, preferably Kubernetes

  • Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods   


PERKS AT WORK



  • Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal technical and fun guilds, knowledge sharing through tech talks, internal tech academy and blogs, product demos, parties & events

  • Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings

  • Extensive onboarding, mentoring and personal development opportunities and an international team of experts

  • Relocation assistance for internationals, PME family service and parent & child rooms* (*available in select locations)


We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.


ABOUT ZALANDO


Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.



Fundamentals team plays a central role in shaping the future of the frontend of all our digital experiences at Zalando. We work with other teams in digital experience, providing them with the infrastructure and frameworks to build a first class, highly engaging, and personalised shopping experience throughout all our digital premises.


Please note that all the applications must be completed using the online form - we do not accept applications via email.

Computer Staff
  • Fort Worth, TX

We have been retained by our client located in Fort Worth, Texas (south Ft Worth area), to deliver a Risk Modeler on a regular full-time basis.   We prefer SAS experience but are interviewing candidates with R, SPSS, WPS, MatLab or similar statistical package experience if candidate has experience from financial loan credit risk analysis industry. Enjoy all the resources of a big company, none of problems that small companies have. This company has doubled in size in 3 years. We have a keen interest in finding a business minded statistical modeling candidate with some credit risk experience to build statistical models within the marketing, direct mail areas of financial services, lending, loans. We are seeking a candidate with statistical modeling, and data analysis skills, interested in creating better ways to solve problems in order to increase loan originations, and decrease loan defaults, and more. Our client is in business to find prospective borrowers, originate loans, provide loans, service loans, process loans and collect loan payments. The team works with third party data vendors, credit reporting agencies and data service providers, data augmentation, address standardization, fraud detection; decision sciences, analytics, and this position includes create of statistical models. They support the one of the, if not the largest profile of decision management in the US.  


We require experience with statistical analysis tools such as SAS, Matlab, R, WPS or SPSS or Python if to do statistical analysis. This is a statistical modeling, risk modeling, model building, decision science, data analysis and statistical analysis type of role requiring SQL and/or SQL Server experience and critical thinking skills to solve problems.   We prefer candidates with experience with data analysis, SQL queries, joins (left, inner, outer, right), reporting from data warehouses with tools such as Tableau, COGNOS, Looker, Business Objects. We prefer candidates with financial and loan experience especially knowledge of loan originations, borrower profiles or demographics, modeling loan defaults, statistical analysis i.e. Gini Coefficients and K-S test / Kolmogorov-Smirnov test for credit scoring and default prediction and modeling.


However, primarily critical thinking skills, and statistical modeling and math / statistics skills are needed to fulfill the tasks of this very interesting and important role, including playing an important role growing your skills within this small risk/modeling team. Take on challenges in the creation and use of statistical models. There is no use for Hadoop, or any NoSQL databases in this position this is not a big data type of position. no "big data" type things needed. There is no Machine Learning or Artificial Intelligence needed in this role. Your role is to create and use those statistical models. Create statistical models for direct mail in financial lending space to reach the right customers with the right profiles / demographics / credit ratings, etc. Take credit risk, credit analysis, loan data and build a new model, or validate the existing model, or recalibrate it or rebuild it completely.   The models are focused on delivering answers to questions or solutions to problems within these areas financial loan lending: Risk Analysis, Credit Analysis, Direct Marketing, Direct Mail, and Defaults. Logistical regression in SAS or Knowledge Studio, and some light use of Looker as the B.I. tool on top of SQL Server data.   Deliver solutions or ways for this business to make improvements in these areas and help the business be more profitable. Seek answers to questions. Seek solutions to problems. Create models. Dig into the data. Explore and find opportunities to improve the business. Expected to fit within the boundaries of defaults or loan values and help drive the business with ideas to get a better models in place, or explore data sources to get better models in place. Use critical thinking to solve problems.


Answer questions or solve problems such as:

What are the statistical models needed to produce the answers to solve risk analysis and credit analysis problems?

What are customer profiles have the best demographics or credit risk for loans to send direct mail items to as direct marketing pieces?

Why are loan defaults increasing or decreasing? What is impacting the increase or decrease of loan defaults?  



Required Skills

Bachelors degree in Statistics or Finance or Economics or Management Information Systems or Math or Quantitative Business Analysis or Analytics any other related math or science or finance degree. Some loan/lending business domain work experience.

Masters degree preferred, but not required.

Critical thinking skills.

must have SQL skills (any database SQL Server, MS Access, Oracle, PostgresSQL, Postgres) and the ability to write queries, joins, inner joins, left joins, right joins, outer joins. SQL Server is highly preferred.

Any statistical analysis systems / packages experience including statistical modeling experience, and excellent math skills:   SAS, Matlab, R, WPS, SPSS or Python with R language if used in statistical analysis. Must have significant statistical modeling skills and experience.



Preferred Skills:
Loan Credit Analysis highly preferred.   SAS highly preferred.
Experience with Tableu, Cognos, Business Objects, Looker or similar data warehouse data slicing and dicing and data warehouse reporting tools.   Creating reports from data warehouse data, or data warehouse reporting. SQL Server SSAS but only to pull reports. Direct marketing, direct mail marketing, loan/lending to somewhat higher risk borrowers.



Employment Type:   Regular Full-Time

Salary Range: $85,000 130,000 / year    

Benefits:  health, medical, dental, vision only cost employee about $100 per month.
401k 4% matching after 1 year, Bonus structure, paid vacation, paid holidays, paid sick days.

Relocation assistance is an option that can be provided, for a very well qualified candidate. Local candidates are preferred.

Location: Fort Worth, Texas
(area south of downtown Fort Worth, Texas)

Immigration: US citizens and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Please apply with resume (MS Word format preferred), and also Apply with your Resume or apply with your Linked In Profile via the buttons on the bottom of this Job Posting page:  

http://www.computerstaff.com/?jobIdDescription=314  


Please call 817-424-1411 or please send a Text to 817-601-7238 to inquire or to follow up on your resume application. Yes, we recommend you call to leave a message, or send a text with your name, at least.   Thank you for your attention and efforts.

Georgia-Pacific
  • Atlanta, GA

GP is moving into our second full year of operation of our Collaboration and Support Center (CSC) and looking for a leader at the CSC located in midtown Atlanta at the Tech Square Labs Building.  We are seeking an experienced and motivated director with a technical background and operating knowledge to lead the ongoing operation of a centralized support center for GP operating locations. The Collaboration and Support Center (CSC) is a location where GP employees, suppliers and subject matter experts are co-located to focus on improving our manufacturing operations through remote monitoring, problem diagnosis and optimization.    

The Role: 

The CSC team will provide a platform to bring remote monitoring, diagnosis and optimization to operating facilities across GP. Internal and external resources located at the CSC will focus on early recognition of problems and scalable problem solving across our manufacturing sites.

The CSC team will use the best available technology and the initial focus will be primarily on opportunities in the areas of Asset Health, Process Safety, and Process Optimization.

The primary responsibilities of the Collaboration and Support Center Leader will be to: 

    • Lead a group of professionals (30-40 initially) to deliver value through the support to operating locations in the form of use cases that when successful will move into ongoing operational support functions
    • Provide coaching, guidance, and support to the cross-functional CSC team to ensure strong collaboration internally and with external locations
    • Carry and bring to life the vision for the CSC inside the team and into operations
    • Structure the day to day operation of the team, prioritizing the daily focus for the CSC team, interacting with manufacturing sites and subject matter experts, and managing contractors toward measurable contributions
    • Build solid communication with sites by engaging with them to ensure a clear understanding of their needs and how the Tech Square CSC can help with their needs
    • Develop a pipeline of talent for Tech Square location that evolves with the scope and maturity of the CSC operation
    • Manage vendor / supplier partners in the CSC to align objectives and priorities  
     

What You Will Need

Basic Qualifications:

  • Bachelors of Science or Technical Degree required

  • 5+ years minimum experience managing a group of professionals

  • 3+ years of experience in an operations environment

  • Basic financial analysis skills for opportunity evaluation and marginal analysis

  • Experience with Process Tools PI or other
  • Willing and able to travel to sites to build relationships with operations and to understand process - 20%

What Will Put You Ahead?

Preferred Qualifications: 


  • BS Degree in Chemical Engineering, Mechanical Engineering, or Electrical Engineering

  • Experience working with business partners and stakeholders

  • Experience working in or managing an integrated operations center

  • Familiarity with analytic tools, python, R, SAS
  • Understanding of Process Control fundamentals DCS, PLC

  • Understanding of Mechanical reliability fundamentals