OnlyDataJobs.com

Huntech USA LLC
  • San Diego, CA

Great opportunity to work with the leader in semiconductor industry who unveiled the worlds first 7 nanometer PC platform, created from the ground up for the next generation of personal computing by bringing new features with thin and light designs, allowing for new form factors in the always-on, always-connected category. It features the new octa-core CPU, the fastest CPU ever designed and built, with a larger cache than previous compute platforms, faster multi-tasking and increased productivity for users, disrupting the performance expectations of current thin, light and fanless PC designs. This platform is currently sampling to customers and is expected to begin shipping in commercial devices in Q3 of 2019.


Staff Data Analyst

You will study the performance of the Global Engineering Grid/ Design workflows across engineering grid and provide insights in effective analytics in support of Grid 2.0 program. You will conduct research, design statistical studies and analyze data in support of Grid 2.0 program.  This job will challenge you to dive deep into the engineering grid/ design flow world and understand the unique challenges in operating engineering grid at a scale unrivaled in the industry.  You should have experience working in an EDA or manufacturing environment and comfortable workings in an environment where problems are not always well-defined.


Responsibilities:

  • Identify and pursue opportunities to improve the efficiency of global engineering grid and design workflows.
  • Develop systems to invest, analyze, and take automated action across real-time feeds of high volume data.
  • Research and implement new analytics approaches effective deployment of machine learning/ data modeling to solve business problems Identify patterns and trends from large, high-dimensional data sets; manipulate data into digestible and actionable reports.
  • Make business recommendations (e.g. cost-benefit, experiment analysis) with effectivepresentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
  • Plan effectively to set priorities and manage projects, identify roadblocks and come up technical options.


Leverage your 8+ years of experience articulating business questions and using mathematical techniques to arrive at an answer using available data. 3 - 4 yrs advance Tableau is a must. Experience translating analysis results into business recommendations. Experience with statistical software (e.g., R, Python, MATLAB, pandas, scala) and database languages like SQL Experience with data warehousing concepts (Hadoop, mapR) and visualization tools (e.g. QlikView, Tableau, Angular, Thoughtspot). Strong business acumen,critical thinking ability, and attention to detail.


Background in data science, applied mathematics, or computational science and a history of solving difficult problems using a scientific approach with MS or BS degree in a quantitative discipline (e.g., Statistics, Applied Mathematics, Operations Research, Computer Science, Electrical Engineering) and understand how to design scientific studies. You should be familiar with the state of the art in machine learning/ data modeling/ forecasting and optimization techniques in a big data environment.



Data Analytics Software Test Engineer

As a member of the Corporate Engineering Services Group software test team, you will be responsible for testing various cutting edge data analytics products and solutions. You will be working with a dynamic engineering team to develop test plans, execute test plans, automate test cases, and troubleshoot and resolve issues.


Leverage your 1+ years of experience in the following:

  • Testing and systems validation for commercial software systems.
  • Testing of systems deployed in AWS Cloud.
  • Knowledge of SQL and databases.
  • Developing and implementing software and systems test plans.
  • Test automation development using Python or Java.
  • Strong problem solving and troubleshooting skills.
  • Experience in testing web-based and Android applications.
  • Familiar with Qualcomm QXDM and APEX tools.
  • Knowledge of software development in Python.
  • Strong written and oral communication skills
  • Working knowledge of JIRA and GitHub is preferred.


Education:

  • Required: Bachelor's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering
  • Preferred: Master's, Computer Engineering and/or Computer Networks & Systems and/or Computer Science and/or Electrical Engineering or equivalent experience


Interested? Please send a resume to our Founder & CEO, Raj Dadlani at raj@huntech.com and he will respond to interested candidates within 24 hours of resume receipt. We are dealing with a highly motivated hiring manager and shortlisting viable candidates by February 22, 2019.

Visa
  • Austin, TX
Company Description
Visa operates the world's largest retail electronic payments network and is one of the most recognized global financial services brands. Visa facilitates global commerce through the transfer of value and information among financial institutions, merchants, consumers, businesses and government entities. We offer a range of branded payment product platforms, which our financial institution clients use to develop and offer credit, charge, deferred debit, prepaid and cash access programs to cardholders. Visa's card platforms provide consumers, businesses, merchants and government entities with a secure, convenient and reliable way to pay and be paid in 170 countries and territories.
Job Description
At Visa University, our mission is to turn our learning data into insights and get a deep understanding of how people use our resources to impact the product, strategy and direction of Visa University. In order to help us achieve this we are looking for someone who can build and scale an efficient analytics data suite and also deliver impactful dashboards and visualizations to track strategic initiatives and enable self-service insight delivery. The Staff Software Engineer, Learning & Development Technology is an individual contributor role within Corporate IT in our Austin-based Technology Hub. In this role you will participate in design, development, and technology delivery projects with many leadership opportunities. Additionally, this position provides application administration and end-user support services. There will be significant collaboration with business partners, multiple Visa IT teams and third-party vendors. The portfolio includes SaaS and hosted packaged applications as well as multiple content providers such as Pathgather (Degreed), Cornerstone, Watershed, Pluralsight, Lynda, Safari, and many others.
The ideal candidate will bring energy and enthusiasm to evolve our learning platforms, be able to easily understand business goals/requirements and be forward thinking to identify opportunities that may be effectively resolved with technology solutions. We believe in leading by example, ownership with high standards and being curious and creative. We are looking for an expert in business intelligence, data visualization and analytics to join the Visa University family and help drive a data-first culture across learning.
Responsibilities
  • Engage with product managers, design team and student experience team in Visa University to ensure that the right information is available and accessible to study user behavior, to build and track key metrics, to understand product performance and to fuel the analysis of experiments
  • Build lasting solutions and datasets to surface critical data and performance metrics and optimize products
  • Build and own the analytics layer of our data environment to make data standardized and easily accessible
  • Design, build, maintain and iterate a suite of visual dashboards to track key metrics and enable self-service data discovery
  • Participate in technology project delivery activities such as business requirement collaboration, estimation, conceptual approach, design, development, test case preparation, unit/integration test execution, support process documentation, and status updates
  • Participate in vendor demo and technical deep dive sessions for upcoming projects
  • Collaborate with, and mentor, data engineers to build efficient data pipelines and impactful visualizations
Qualifications
  • Minimum 8 years of experience in a business intelligence, data analysis or data visualization role and a degree in science, computer science, statistics, economics, mathematics, or similar
  • Significant experience in designing analytical data layers and in conducting ETL with very large and complex data sets
  • Expertise with Tableau desktop software (techniques such as LOD calculations, calculated fields, table calculations, and dashboard actions)
  • Expert in data visualization
  • High level of ability in JSON, SQL
  • Experience with Python is a must and experience with data science libraries is a plus (NumPy, Pandas, SciPy, Scikit Learn, NLTK, Deep Learning(Keras)
  • Experience with Machine Learning algorithms (Linear Regression, Multiple Regression, Decision Trees, Random Forest, Logistic Regression, Naive Bayes, SVM, K-means, K-nearest neighbor, Hierarchical Clustering)
  • Experience with HTML and JavaScript
  • Basic SFTP and encryption knowledge
  • Experience with Excel (Vlookups, pivots, macros, etc.)
  • Experience with xAPI is a plus
  • Ability to leverage HR systems such as Workday, Salesforce etc., to execute the above responsibilities
  • Understanding of statistical analysis, quantitative aptitude and the ability to gather and interpret data and information
  • You have a strong business sense and you are able to translate business problems to data driven solutions with minimal oversight
  • You are a communicative person who values building strong relationships with colleagues and stakeholders, enjoys mentoring and teaching others and you have the ability to explain complex topics in simple terms
Additional Information
All your information will be kept confidential according to EEO guidelines.
Job Number: REF15081Q
Citizens Advice
  • London, UK
  • Salary: £40k - 45k

As a Database engineer in the DevOps team here at Citizens Advice you will help us develop and implement our data strategy. You will have the opportunity to work with both core database technologies and big data solutions.


Past


Starting from scratch, we have built a deep tech-stack with AWS services at its core. We created a new CRM system, migrated a huge amount of data to AWS Aurora PG and used AWS RDS to run some of our business critical databases.


You will have gained a solid background and in-depth knowledge of AWS RDS, SQL/Admin against DBMS's such as PostgreSql / MySQL / SQL Server, Dynamo / Aurora. You will have dealt with Data Warehousing, ETL, DB Mirroring/Replication, and DB Security Mechanisms & Techniques.


Present


We use AWS RDS including Aurora as the standard DB implementation for our applications. We parse data in S3 using Spark jobs and we are planning to implement a data lake solution in AWS.


Our tools and technologies include:



  • Postgres on AWS RDS

  • SQL Server for our Data Warehouse

  • Liquibase for managing the DW schema

  • Jenkins 2 for task automation

  • Spark / Parquet / AWS Glue for parsing raw data

  • Docker / docker-compose for local testing


You will be developing, supporting and maintaining automation tools to drive database, reporting and maintenance tasks.


As part of our internal engineering platform offering, R&D time will give you the opportunity to develop POC solutions to integrate with the rest of the business.


Future


You will seek continuous improvement and implement solutions to help Citizens Advice deliver digital products better and quicker.


You will be helping us implement a data lake solution to improve operations and to offer innovative services.


You will have dedicated investment time at Citizens Advice to learn new skills, technologies, research topics or work on tools that make this possible.

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.

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.
The HT Group
  • Austin, TX

Full Stack Engineer, Java/Scala Direct Hire Austin

Do you have a track record of building both internal- and external-facing software services in a dynamic environment? Are you passionate about introducing disruptive and innovative software solutions for the shipping and logistics industry? Are you ready to deliver immediate impact with the software you create?

We are looking for Full Stack Engineers to craft, implement and deploy new features, services, platforms, and products. If you are curious, driven, and naturally explore how to build elegant and creative solutions to complex technical challenges, this may be the right fit for you. If you value a sense of community and shared commitment, youll collaborate closely with others in a full-stack role to ship software that delivers immediate and continuous business value. Are you up for the challenge?

Tech Tools:

  • Application stack runs entirely on Docker frontend and backend
  • Infrastructure is 100% Amazon Web Services and we use AWS services whenever possible. Current examples: EC2 Elastic Container Service (Docker), Kinesis, SQS, Lambda and Redshift
  • Java and Scala are the languages of choice for long-lived backend services
  • Python for tooling and data science
  • Postgres is the SQL database of choice
  • Actively migrating to a modern JavaScript-centric frontend built on Node, React/Relay, and GraphQL as some of our core UI technologies

Responsibilities:

  • Build both internal and external REST/JSON services running on our 100% Docker-based application stack or within AWS Lambda
  • Build data pipelines around event-based and streaming-based AWS services and application features
  • Write deployment, monitoring, and internal tooling to operate our software with as much efficiency as we build it
  • Share ownership of all facets of software delivery, including development, operations, and test
  • Mentor junior members of the team and coach them to be even better at what they do

Requirements:

  • Embrace the AWS + DevOps philosophy and believe this is an innovative approach to creating and deploying products and technical solutions that require software engineers to be truly full-stack
  • Have high-quality standards, pay attention to details, and love writing beautiful, well-designed and tested code that can stand the test of time
  • Have built high-quality software, solved technical problems at scale and believe in shipping software iteratively and often
  • Proficient in and have delivered software in Java, Scala, and possibly other JVM languages
  • Developed a strong command over Computer Science fundamentals
Riccione Resources
  • Dallas, TX

Sr. Data Engineer Hadoop, Spark, Data Pipelines, Growing Company

One of our clients is looking for a Sr. Data Engineer in the Fort Worth, TX area! Build your data expertise with projects centering on large Data Warehouses and new data models! Think outside the box to solve challenging problems! Thrive in the variety of technologies you will use in this role!

Why should I apply here?

    • Culture built on creativity and respect for engineering expertise
    • Nominated as one of the Best Places to Work in DFW
    • Entrepreneurial environment, growing portfolio and revenue stream
    • One of the fastest growing mid-size tech companies in DFW
    • Executive management with past successes in building firms
    • Leader of its technology niche, setting the standards
    • A robust, fast-paced work environment
    • Great technical challenges for top-notch engineers
    • Potential for career growth, emphasis on work/life balance
    • A remodeled office with a bistro, lounge, and foosball

What will I be doing?

    • Building data expertise and owning data quality for the transfer pipelines that you create to transform and move data to the companys large Data Warehouse
    • Architecting, constructing, and launching new data models that provide intuitive analytics to customers
    • Designing and developing new systems and tools to enable clients to optimize and track advertising campaigns
    • Using your expert skills across a number of platforms and tools such as Ruby, SQL, Linux shell scripting, Git, and Chef
    • Working across multiple teams in high visibility roles and owning the solution end-to-end
    • Providing support for existing production systems
    • Broadly influencing the companys clients and internal analysts

What skills/experiences do I need?

    • B.S. or M.S. degree in Computer Science or a related technical field
    • 5+ years of experience working with Hadoop and Spark
    • 5+ years of experience with Python or Ruby development
    • 5+ years of experience with efficient SQL (Postgres, Vertica, Oracle, etc.)
    • 5+ years of experience building and supporting applications on Linux-based systems
    • Background in engineering Spark data pipelines
    • Understanding of distributed systems

What will make my résumé stand out?

    • Ability to customize an ETL or ELT
    • Experience building an actual data warehouse schema

Location: Fort Worth, TX

Citizenship: U.S. citizens and those authorized to work in the U.S. are encouraged to apply. This company is currently unable to provide sponsorship (e.g., H1B).

Salary: 115 130k + 401k Match

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~SW1317~

Gravity IT Resources
  • Miami, FL

Overview of Position:

We undertaking an ambitious digital transformation across Sales, Service, Marketing, and eCommerce. We are looking for a web data analytics wizard with prior experience in digital data preparation, discovery, and predictive analytics.

The data scientist/web analyst will work with external partners, digital business partners, enterprise analytics, and technology team to strategically plan and develop datasets, measure web analytics, and execute on predictive and prescriptive use cases. The role demands the ability to (1) Learn quickly (2) Work in a fast-paced, team-driven environment (3) Manage multiple efforts simultaneously (4) Adept at using large datasets and using models to test effectiveness of different courses of action (5) Promote data driven decision making throughout the organization (6) Define and measure success of capabilities we provide the organization.


Primary Duties and Responsibilities

    Analy
    • ze data captured through Google Analytics and develop meaningful actionable insights on digital behavior. Put t
    • ogether a customer 360 data frame by connecting CRM Sales, Service, Marketing cloud data with Commerce Web behavior data and wrangle the data into a usable form. Use p
    • redictive modelling to increase and optimize customer experiences across online & offline channels. Evalu
    • ate customer experience and conversions to provide insights & tactical recommendations for web optimization
    • Execute on digital predictive use cases and collaborate with enterprise analytics team to ensure use of best tools and methodologies.
    • Lead support for enterprise voice of customer feedback analytics.
    • Enhance and maintain digital data library and definitions.

Minimum Qualifications

  • Bachelors degree in Statistics, Computer Science, Marketing, Engineering or equivalent
  • 3 years or more of working experience in building predictive models.
  • Experience in Google Analytics or similar web behavior tracking tools is required.
  • Experience in R is a must with working knowledge of connecting to multiple data sources such as amazon redshift, salesforce, google analytics, etc.
  • Working knowledge in machine learning algorithms such as Random Forest, K-means, Apriori, Support Vector machine, etc.
  • Experience in A/B testing or multivariate testing.
  • Experience in media tracking tags and pixels, UTM, and custom tracking methods.
  • Microsoft Office Excel & PPT (advanced).

Preferred Qualifications

  • Masters degree in statistics or equivalent.
  • Google Analytics 360 experience/certification.
  • SQL workbench, Postgres.
  • Alteryx experience is a plus.
  • Tableau experience is a plus.
  • Experience in HTML, JavaScript.
  • Experience in SAP analytics cloud or SAP desktop predictive tool is a plus
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
Biswas Information Technology Solutions
  • Herndon, VA

We are seeking a junior-mid level Data Science Engineer to analyze large amounts of raw data from different sources to extract valuable business insights to aid in better business decision-making. Analytical mind, problem-solving skills and passion for machine-learning and research are critical for this role. You will be part of a highly passionate development team that is in the process of refining our Data Science toolkit that includes a wide set of predictive, recommendation, and inference modeling for our AI product — ranging from time-series forecasting, sentiment analysis, custom object-detection, to named-entity recognition, text summarization, and geometric deep learning.



Responsibilities



  • Identify valuable data sources and automate collection processes

  • Preprocessing of structured and unstructured data

  • Discover trends and patterns in large amounts of data

  • Build predictive models and machine-learning algorithms

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams



Requirements



  • Strong fundamentals in training, evaluating, and benchmarking machine learning models

  • Strong in Python Numpy, Pandas, keras (tensorflow or pytorch is a plus)

  • Familiar with Feature selection, Feature Extraction (especially for deep learning is a plus++)

  • Familiarity of common Hyper-optimization Techniques with different AI models.

  • Experience handling large data sets

  • Familiarity with BI tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

  • Strong math skills (e.g. statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills

  • 3 to 5 years of experience in the above is preferred

HelloFresh US
  • New York, NY

HelloFresh is hiring a Data Scientist to join our Supply Chain Analytics Team! In this exciting role, you will develop cutting edge insights using a wealth of data about our suppliers, ingredients, operations, and customers to improve the customer experience, drive operational efficiencies and build new supply chain capabilities. To succeed in this role, you’ll need to have a genuine interest in using data and analytic techniques to solve real business challenges, and a keen interest to make a big impact on a fast-growing organization.


You will...



  • Own the development and deployment of quantitative models to make routine and strategic operational decisions to plan the fulfillment of orders and identify the supply chain capabilities we need to build to continue succeeding in the business

  • Solve complex optimization problems with linear programming techniques

  • Collaborate across operational functions (e.g. supply chain planning, logistics, procurement, production, etc) to identify and prioritize projects

  • Communicate results and recommendations to stakeholders in a business oriented manner with clear guidelines which can be implemented across functions in the supply chain

  • Work with complex datasets across various platforms to perform descriptive, prescriptive, predictive, and exploratory analyses


At a minimum, you have...



  • Advanced degree in Statistics, Economics, Applied Mathematics, Computer Science, Data Science, Engineering or a related field

  • 2 - 5 years’ experience delivering analytical solutions to complex business problems

  • Knowledge of linear programming optimization techniques (familiarity with software like CPLEX, AMPL, etc is a plus)

  • Fluency in managing and analyzing large data sets of data with advanced tools, such as R and Python etc.

  • Experience extracting and transforming data from structured databases such as: MySQL, PostgreSQL, etc.


You are...



  • Results-oriented - You love transforming data into meaningful outcomes

  • Gritty - When you encounter obstacles you find solutions, not excuses

  • Intellectually curious – You love to understand why things are the way they are, how things work, and challenge the status quo

  • A team player – You favor team victories over individual success

  • A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to all your work

  • Agile – You thrive in fast-paced and dynamic environments and are comfortable working autonomously

  • A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems



Our team is diverse, high-performing and international, helping us to create a truly inspiring work environment in which you will thrive!


It is the policy of HelloFresh not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or because he or she is a protected veteran.

Perficient, Inc.
  • Dallas, TX

At Perficient, youll deliver mission-critical technology and business solutions to Fortune 500 companies and some of the most recognized brands on the planet. And youll do it with cutting-edge technologies, thanks to our close partnerships with the worlds biggest vendors. Our network of offices across North America, as well as locations in India and China, will give you the opportunity to spread your wings, too.

Were proud to be publicly recognized as a Top Workplace year after year. This is due, in no small part, to our entrepreneurial attitude and collaborative spirit that sets us apart and keeps our colleagues impassioned, driven, and fulfilled.

About Our Data Governance Practice:


We provide exceptional data integration services in the ETL, Data Catalog, Data Quality, Data Warehouse, Master Data Management (MDM), Metadata Management & Governance space.

Perficient currently has a career opportunity for a Python Developer who resides in the vicinity of Jersey City, NJ or Dallas,TX.

Job Overview:

As a Python developer, you will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment, and support of application developed for our clients. As a member working in a team environment, you will take direction from solution architects and Leads on development activities.


Required skills:

  • 6+ years of experience in architecting, building and maintaining software platforms and large-scale data infrastructures in a commercial or open source environment
  • Excellent knowledge of Python
  • Good knowledge of and hands on experience working with quant/data Python libraries (pandas/numpy etc)
  • Good knowledge of and hands on experience designing APIs in Python (using Django/Flask etc)

Nice to have skills (in the order of priority):

  • Comfortable and Hands on experience with AWS cloud (S3, EC2, EMR, Lambda, Athena, QuickSight etc.) and EMR tools (Hive, Zeppelin etc)
  • Experience building and optimizing big data data pipelines, architectures and data sets.
  • Hands on experience in Hadoop MapReduce or other big data technologies and pipelines (Hadoop, Spark/pyspark, MapReduce, etc.)
  • Bash Scripting
  • Understanding of Machine Learning and Data Science processes and techniques
  • Experience in Java / Scala


Perficient full-time employees receive complete and competitive benefits. We offer a collaborative work environment, competitive compensation, generous work/life opportunities, and an outstanding benefits package that includes paid time off plus holidays. In addition, all colleagues are eligible for a number of rewards and recognition programs including billable bonus opportunities. Encouraging a healthy work/life balance and providing our colleagues with great benefits are just part of what makes Perficient a great place to work.

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.

Acxiom
  • Austin, TX
The Data Analytics Engineer leverages Acxiom and third-party software to create solutions to business problems defined by specific business requirements. As a Data Analytics Engineer, you will draw upon technical and data processing knowledge to solve moderately complex marketing and data warehousing problems on very large volumes of data.

This position can be homebased. Corporate office locations include: Downers Grove, IL; Conway, AR: Austin, TX; New York City, NY.

 

Responsibilities:


  • Understands requirements to build, enhance, or integrate data programs and processes for one or more Acxiom Client solutions and/or applications. Able to read and interpret application design and functional specifications to write or enhance application code.
  • Interacts with client/stakeholders to understand and resolve problems in a timely manner, prioritizing multiple issue response based on the severity of the case.
  • Develops automation jobs for data orchestration, data analysis and data transfers
  • Provides input on functional requirements and participates /presents review code in code review sessions. Helps accurately estimate requirements in order to deliver client solutions within time, and quality standards.
  • Utilizes standard /Acxiom methodologies to ensure overall solution and data integrity is maintained.
  • Understands Acxiom solution software. Defines solutions standards, policies and procedures.
  • Identifies and diagnoses areas of maintenance and process improvement.
  • Responds to client/stakeholder problems in a timely manner, prioritizing multiple issue response based on the severity of the case.
  • Using a relevant software language, develops/ executes unit test cases and tests software applications that fulfill functional specifications. Documents and interprets test results and corrects application coding errors
  • Draws on past technical experiences to adapt to new programming languages and technologies on


What you will need:


  • 2-4 years of experience in data engineering/programming and data analytics at a large organization
  • Analytic problem-solving skills with the ability to think outside-the-box
  • Analytical thinker that excels at analyzing and understanding data to answer questions
  • Good communication skills: communicate ideas clearly and effectively to other members of the analytics team and to the client at multiple levels (both technical and business)
  • Excellent understanding of data concepts, data architecture, data manipulation/engineering and data engineering design
  • Able to leverage SQL or other data manipulation languages such as SAS, python pandas, R, Spark, etc. to answer business questions effectively
  • Passion for considering how projects fit into the wider business picture
  • Expert programming experience in Python, Shell scripting, or other object oriented and structured programming language
  • Understanding in multiple types of programming languages to be adaptable (statically typed vs. dynamically typed and object oriented vs. procedural)
  • Self-Starter Able to work independently with little guidance
  • Multitasker Able to prioritize and deliver on multiple projects and tasks that are happening
  • Adaptable - Able to adapt to diverse technical challenges and systems
  • Up to 25% travel
  • Up to 50% direct client interaction


What will set you apart:


  • Client facing consulting experience
  • Experience with 3rd party MarTech data (Email send/response, Direct Mail send/response, Prospect Lists) and/or AdTech data (Digital Ad Impressions/Activity, Social, Website activity)
  • Experience working in environments with strong data privacy and data goverence
  • SAS & building macros in SAS
  • Hadoop architecture(Cloudera, Hortonworks, MapR)
  • Hive
  • Spark/PySpark
  • R
  • AWS experience
  • Building reports on Tableau or other BI Tools

 

Apporchid Inc
  • Philadelphia, PA

Java- Techcnial lead

Job description:

Experienced Java/J2EE technical lead with proven expertise in implementing, managing enterprise scale Hadoop architectures and environments. Setup highly available App Orchid Java Product platform in AWS with industry standard security frameworks. Collaborates with application developers to support, manage, enhance and tactical roadmaps to support large and highly visible Product environment deployments.

Roles and Responsibilities:

  • Work with Solution Architects and Business leaders to understand the architectural roadmaps that support and fulfill business strategy.
  • Lead and design custom solutions on our App Orchid Product Platform
  • Act as a Tech Lead and Engineer mentoring colleagues with less experience
  • Collaboration with a high-performing, forward-focused team, Product Owner(s) and Business stakeholders engagement
  • Enable and influence the timely and successful delivery of business data capabilities and/or technology objectives
  • Opportunity to expand your communication, analytical, interpersonal, and organization capabilities
  • Experience working in a fast paced environment driving business outcomes leveraging Agile to its fullest
  • Enhance your entrepreneurial mindset network opportunity and influencing outcomes
  • Supporting environment that fosters can-do attitude and opportunity for growth and advancement based on consistent demonstrative performance.
  • Expertise in system administration and programming skills. Storage, performance tuning and capacity management of Big Data.
  • Good understanding of Hadoop eco system such as HDFS, YARN, Map Reduce, HBase, Spark, and Hive.
  • Experience in setup of SSL and integration with Active Directory.
  • Good exposure to CI/CD
  • Oversee technical deliverables for invest and maintenance projects through the software development life cycle, including validating the completeness of estimates, quality and accuracy of technical designs, build and implementation.
  • Proactively address technical issues and risks that could impact project schedule and/or budget
  • Work closely with stakeholders to design and document automation solutions that align with the business needs and also consistent with the architectural vision.
  • Facilitate continuity between Sourcing Partners, other IT Groups and Enterprise Architecture.
  • Work closely with the architecture team to ensure that the technical solution designs and implementation are consistent with the architectural vision, as well as to drive the business through technical innovation through the use of newly identified and leading technologies.
  • Own and drive adoption of DevOps tools and best practices (including conducting (automated) code reviews, reducing/eliminating technical debt, and delivering vulnerability free code) across the application portfolio.

Qualifications

  • Bachelor's degree or equivalent work experience
  • Eight to Ten years (or more) experience as Java/J2EE Technical lead/Sr developer in a large production environment.
  • A deep understanding of Big Data,  Java, Elastic Search, Kibana, Postgresql, TestNG, Gradle
  • Good verbal and written communication skill
  • Demonstrated experience in working on large projects or small teams
  • Working knowledge of Red Hat Linux and Windows operating systems
  • Expert knowledge in Java programming language, SQL and microservices  
  • Good understanding of Cloud technologies, especially AWS stack
  • At least 8 years experience with developing and implementing applications

Desired Skills and Experience

  • Proficient with Java development
  • Ability to quickly learn new technologies and enable/train other analysts
  • Ability to work independently as well as in a team environment on moderate to highly complex issues
  • High technical aptitude and demonstrated progression of technical skills - continuous improvement
  • Ability to automate software/application installations and configurations hosted on Linux servers.
Delivery Hero SE
  • Berlin, Germany

Delivery Hero is building the next generation global online food-delivery platform. 


We’re a truly global team, working across 45 countries to ensure our customers are able to find, order and receive their favourite food in the fastest way possible. Since we started our journey in 2011, Delivery Hero has become the world’s largest food-delivery network, and we’re focused on a culture of growth, in both size and opportunities.  


Food delivery… sounds fancy, but how does that actually work? 


Someone is hungry, she Googles her favourite restaurant, clicks the first link… and she lands on the restaurant page on lieferheld.de. 


Now imagine this person lives in Singapore, or in Argentina, or in one of the 40 countries where Delivery Hero is present. Each country has a different culture, a different language (or even several!). Imagine more than 200k restaurants with details that make them unique. 


How would you make sure that she finds the food she wants? Can you make sure it happens quickly? Can you make sure it happens at scale and in a sustainable way?


What's on the menu?



  • To design, implement and maintain new tools for the Advertising Solutions tech team.

  • Driving innovation in marketing, with a goal to increase the effectiveness of our marketing activities, through technological solutions.

  • Improving and maintain existing applications and services.

  • You will be an active partner for Product management in order to provide the best value for stakeholders and our customers.

  • Ensuring code quality by coaching junior colleagues.

  • Taking responsibility of a number of systems/products.

  • You will make sure that the platforms keep up with high standards of scalability, stability, security and performance.

  • Our Tech Stack: python3, flask, drf, celery, pandas, docker, angular, circleci, aws/gcp.


What do you bring to the table?



  • Software development experience with a key focus on modern web applications and cloud services.

  • You like data and you are comfortable handling lots of it.

  • Passion for clean and beautiful code, with an eye for simplicity and pragmatism.

  • You firmly believe in lean and agile development.

  • Getting up to speed with new systems and concepts quickly.

  • Understanding that quality is not ensured solely by the QA engineer, but by the team.

  • You believe in cross-functional teams and know that responsibility does not end with deployment.

  • Good communication skills and you enjoy sharing knowledge among your peers.

  • Nice to have: knowledge of the Facebook and AdWords APIs, Python data manipulation libraries. Frontend development, infrastructure or/and automation knowledge are a plus.


What do we feed you with?



  • English is our working language, but our colleagues at Delivery Hero come from every corner of the globe providing an incredibly diverse, international working atmosphere with cross-cultural teams.

  • A modern, recently refurbished office in the heart of Berlin.

  • We offer flexible working hours to fit around your personal or family life in case you have to drop off your kids at kita or perhaps you just want to come in to work a little later.

  • Great career opportunities following our development career plan.

  • Being part of a global family under the Delivery Hero umbrella, we can offer you the safety of a large company including a pension scheme and stability.

  • Moving can be stressful so to help you settle in we provide a relocation package including visa help, temporary accommodation and a budget to applicants from abroad.

  • Our building has several kitchens where you’ll find fresh fruit, cereals, juice/ drinks, tea, coffee, etc.

  • On nearly every floor you’ll find a kicker or table tennis (or a lounge, and even a nap room) for when you need to take a break.

  • Being a food-ordering company, in between playing and working hard, we provide a generous number of monthly vouchers to use for ordering food on our platforms when you get the munchies.

  • Sprichst du kein Deutsch? No worries, we provide German classes for those expats who want to expedite their integration.

  • We know that experience at the office with interesting and diverse problems, colleagues and technologies isn’t the only way to learn, so our employees get an education budget to attend conferences or trainings locally or around Europe to satisfy their pursuit of knowledge.

  • Every Friday we have a team integration, when we just stop working earlier, grab a beer and relax with colleagues.

  • Sometimes we just enjoy our times together with team events and company events.


At Delivery Hero, we believe diversity and representation is key to creating not only an exciting product, but also an amazing customer and employee experience. Fostering this starts with hiring -- therefore we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, or any other aspect that makes you, you.

Have we caught your attention?
 Then please send us your application including cover letter, CV, salary expectations and earliest starting date. We’re looking forward to your application!

GE Capital
  • Ann Arbor, MI
  • ***Please Note: This Role is in Van Buren, MI (30 minutes drive from Ann Arbor)


Role Summary

Serve as analytics & visualization developer to build innovative solutions to support a broad range of analysis and outcomes. Partner with teams to create wing-to-wing transactional views, trends and anomalies leveraging GE's data lake. Look for new ways to harness the data we have for insights and actionable outcomes. 

 
In This Role, You Will

Essential Responsibilities: 


  • Develop Spotfire reports utilizing advanced data visualization techniques and related SQL.
  • Leverage Treasury Data Lake and data virtualization technologies (Denodo) to deliver new capabilities on tablet and mobile platforms.
  • Work on an agile team using Rally to quickly prototype and iterate on ideas
  • Lead the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support activities
  • Technical analysis working with PostgreSQL & AWS native services
  • Partner with business teams to define requirements & user stories
  • Building and implementing analytical models with R and Python


Qualifications/Requirements
  • Bachelors degree from an accredited university or college in Computer Science or Information Systems
  • One or more years experience of design & development of data centric applications leveraging data from enterprise data warehouses.


Eligibility Requirements:

  • Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job


Technical Expertise

Desired Characteristics:
  • 1 year+ experience with BI visualization and/or reporting tools (Expert level knowledge of Modern BI Platforms like Spotfire, Qlik, Tableau etc.); a data and reporting guru.
  • Experience with web technologies such as ASP, HTML and CSS Integration of same with Data Visualization tools (e.g. extensions) a plus
  • Experience with scripting languages like Java Script, Python etc.
  • Exposure to advanced analytic & data science applications
  • Excellent BI application development skills, as demonstrated by having led, designed and implemented successful web and mobile projects
  • Ability to clearly articulate creative ideas to senior leaders
  • Ability to guide and direct technical team members through the SDLC
  • Ability to hit tight deadlines and work under pressure
  • SAP and/or Oracle ERP systems exposure a plus
  • Passion for learning new technologies and eagerness to collaborate with other creative minds
  • Strong desire for exploring, evaluating and understanding new technologies
JPMorgan Chase & Co.
  • Houston, TX
Our Global Technology Infrastructure group is a team rewarded with innovators who love technology as much as you do. Together, youll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. Youll work in a stable, resilient and secure operating environment where youand the products you deliverwill thrive.
As a senior leader working within the Business Intelligence Continual Service Improvement (BI-CSI) team your role will require you to adapt between individual contributor and that of an active, contributing team member throughout the full CSI lifecycle supporting concurrent priorities. Working alongside senior analytical staff and subject matter experts (SMEs) within the firm, you will confidently use analytical approaches, statistical models and data visualization tools to identify data defined actionable insight to improve IT operational performance, enable effective business decisions and ultimately create efficiencies for JPMorgan Chase (JPMC).
Qualifications
This role requires a wide variety of strengths and capabilities, including:
    • 5+ years of hands-on experience developing analytical solutions in a fast-paced environment (preferably financial services)
    • Experience in developing scalable code to extract, manipulate, report and analyze data from both structured and unstructured data sources
    • Proficient in conducting advanced statistical analyses (e.g. regression, clustering, time series) and working with large data sets.
    • Strong data visualization capabilities.
    • Strong interpersonal skills, including verbal, written, and listening skills.
    • Experience establishing a proposal or business case in order to build and present a persuasive argument in favor of an observed need for improvement.
    • Excellent organizational, planning, problem solving and decision making skills including experience with project management methodologies required.
    • Demonstrated ability to work independently and as a member of a team.
    • Able to multi-task with ease including a demonstrated track record of delivering multiple concurrent complex technical projects on time.
    • Ability to build relationships and leverage subject matter expertise to driving conversations and/or influence decisions/direction with Business and Technology areas.
    • Proven understanding of core IT Service Management processes and its underlying data a plus.
    • Professional certification(s) in a defined best practice methodology (ITIL, HDI, Six Sigma) preferred.
Specific Technical Skills
    • Bachelors Degree (or higher) in a quantitative discipline (e.g. Computer Science, Engineering, Applied Statistics, Mathematics or similar)
    • Strong experience coding and debugging in one or more of the following languages: Python, Java, R and familiarity with related statistical packages (e.g. Scikit-Learn, SciPy, Pandas, Numpy)
    • Familiarity with databases and basic data table operations (SQL, Hive, etc.)
    • Experience with big-data technologies such as Hadoop, Spark etc. a plus
    • Expertise in at least one infrastructure technology, e.g., Server (e.g., Unix, Wintel), Storage (e.g., NAS, SAN), Network (e.g., firewalls, routers), Database (e.g., Oracle, DB2), Mainframe, Middleware. Knowledge of 2 or more technologies is a plus.
    • Proficiency in reporting / dashboard tools i.e., Cognos, Tableau, Qlikview.
    • Proficiency in ServiceNow data model; HPSM and ITSM is a plus.
    • Familiarity with project methodologies such as Agile and Waterfall.
    • Advanced knowledge of Excel (pivot tables, charting, macros, calculations), Microsoft PowerPoint, Microsoft Word, IE (and other browsers: E.g. Firefox).
When you work at JPMorgan Chase & Co., youre not just working at a global financial institution. Youre an integral part of one of the worlds biggest tech companies. In 14 technology hubs worldwide, our team of 40,000+ technologists design, build and deploy everything from enterprise technology initiatives to big data and mobile solutions, as well as innovations in electronic payments, cybersecurity, machine learning, and cloud development. Our $9.5B+ annual investment in technology enables us to hire people to create innovative solutions that will not only transform the financial services industry, but also change the world.
At JPMorgan Chase & Co. we value the unique skills of every employee, and were building a technology organization that thrives on diversity. We encourage professional growth and career development, and offer competitive benefits and compensation. If youre looking to build your career as part of a global technology team tackling big challenges that impact the lives of people and companies all around the world, we want to meet you.
Strong Analytics
  • Chicago, IL
  • Salary: $80k - 125k

Strong Analytics is seeking a data scientist to join our team in developing machine learning pipelines, building  statistical models, and generally helping our clients discover value in their data.


At Strong, we pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying statistics and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into some larger architecture.


We offer a comprehensive compensation package, including:



  • Competitive salary

  • Profit sharing or equity, based on experience

  • Health insurance

  • Four weeks paid vacation

  • Work-from-Home Wednesdays



Requirements



Candidates will be evaluated based on their experience in the following areas (though no one is expected to be an expert in each of these):



  • Statistical modeling and hypothesis testing

  • Designing, training, and validating results from a breadth of machine learning algorithms

  • Writing clean, efficient SQL

  • Integrating with various RDBMS (e.g., Postgres, MySQL) and distributed data stores (e.g., Hadoop)

  • Building Python applications

  • Deploying applications into cloud-based infrastructures (e.g., AWS)

  • Building deep neural networks with modern tools, such as PyTorch or Tensorflow

  • Creating and interacting with RESTful APIs

  • Managing *nix servers

  • Writing unit tests

  • Collaborating via Git


Applicants with a PhD in a quantitative field are preferred; however, all applicants will be considered based on their experience and demonstrated skill/aptitude.


Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

Giesecke+Devrient Currency Technology GmbH
  • München, Deutschland

Arbeiten Sie mit an einer Zukunft, die bewegt. Für unsere Division Currency Management Solutions suchen wir Sie als



Big Data Engineer (m/w/d)



Ihre Aufgaben:




  • Sie sind verantwortlich für Design, Implementierung und Betrieb von effektiven Data Processing Architekturen innerhalb unserer innovativen Microservices- und Cloud-basierten Data Analytics, IIoT und Digitallösungen

  • Ingestion, Integration, Organization, Batch und Stream Processing, Lifecycle Management der Daten

  • Sichern der Qualität, Integrität und Privacy der Daten

  • Setup, Monitoring und Tuning der Hadoop Cluster und Datenbanken, you build it you run it

  • Enge Zusammenarbeit in agilen Teams mit Data Scientists, Entwicklungsteams und Product Ownern in der Datenmodellierung, Datenanalyse und Technologieberatung



Ihr Profil:




  • Studium (Master, FH / Uni) der Informatik oder einer vergleichbaren Fachrichtung

  • Sehr gute Kenntnisse mit Data Ingestion / Integration (Flume, Sqoop, Nify) Data Storage (PostgreSQL, MongoDB), Distributed Storage (Hadoop, Cloudera), Messaging (Kafka, MQTT), Data Processing (Spark, Scala), Scheduling (Oozie, Pig)

  • Praktische Erfahrung in der Entwicklung und Betrieb von large-scale Data Processing Pipelines in skalierbaren Microservice / REST Architekturen

  • Erfahrung in Cloud-Umgebungen wie Microsoft Azure oder AWS wünschenswert

  • Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift






Wir freuen uns auf Ihre Online-Bewerbung unter www.gi-de.com/karriere.




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