OnlyDataJobs.com

JPMorgan Chase & Co.
  • Houston, TX
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. Youll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.
As a Machine Learning Engineer, you will provide high quality technology solutions that address business needs by developing applications within mature technology environments. You will utilize mature (3rd or 4th Generation) programming methodologies and languages and adhere to coding standards, procedures and techniques while contributing to the technical code documentation.
You will participate in project planning sessions with project managers, business analysts and team members to analyze business requirements and outline the proposed IT solution. You will participate in design reviews and provide input to the design recommendations; incorporate security requirements into design; and provide input to information/data flow, and understand and comply to Project Life Cycle Methodology in all planning steps. You will also adhere to IT Control Policies throughout design, development and testing and incorporate Corporate Architectural Standards into application design specifications.
Additionally, you will document the detailed application specifications, translate technical requirements into programmed application modules and develop/Enhance software application modules. You will participate in code reviews and ensure that all solutions are aligned to pre-defined architectural specifications; identify/troubleshoot application code-related issues; and review and provide feedback to the final user documentation.
Key Responsibilities
Provide leadership and direction for the key machine learning initiatives in the Operation Risk domain
Act as machine learning evangelist in the Operation Risk domain
Perform research and proof of concepts to determine ML/AI applicability to potential use cases
Mentor junior data scientists and team members new to machine learning
Display efficient work style with attention to detail, organization, and strong sense of urgency
Designing software and producing scalable and resilient technical designs
Creating Automated Unit Tests using Flexible/Open Source Frameworks
Digesting and understanding Business Requirements and designing new modules/functionality which meet the needs of our business partners.
Implement model reviews and machine learning governance framework
Manage code quality for total build effort.
Participate in design reviews and provide input to the design recommendations
Essentials
  • Advanced degree in Math, Computer Science or another quantitative field
  • Three to five years working experience in machine learning, preferably natural language processing
  • Ability to work in a team as a self-directed contributor with a proven track record of being detail orientated, innovative, creative, and strategic
  • Strong problem solving and data analytical skills
  • Industry experience building end-to-end Machine Learning systems leveraging Python (Scikit-Learn, Pandas, Numpy, Tensorflow, Keras, NLTK, Gensim et al.) or other similar languages
  • Experience of a variety of machine learning algorithms (classification, clustering, deep learning et al.) and natural language processing applications (topic modeling, sentiment analysis et al.)
  • Experience with NLP techniques to transform unstructured text data to structured data (lemmatization, stemming, Bag-of-words, word embedding et al.)
  • Experience visualizing/presenting data for stakeholders using Tableau, or open-source Python packages such as matplotlib, seaborn et al.
  • Familiar with Hive/Impala to manipulate data and draw insights from Hadoop
Personal Specification
Demonstrate Continual Improvement in terms of Individual Performance
Strong communication skills
Bright and enthusiastic, self-directed
Excellent analytical and problem solving skills
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.
Epidemic Sound AB
  • Stockholm, Sweden

We are now looking for an experienced Machine Learning Specialist (you’re likely currently a Data Scientist, or perhaps an advanced Insight Analyst who’s had the opportunity to use Machine Learning in a commercial environment). 



Job description


The position as a Machine Learning Specialist will report directly in to the CTO, in a fresh new team which functions as a de-centralised squad, delivering advanced analysis and machine learning to various departments throughout the company. You’ll work alongside Data Engineers and Developers to deploy microservices solving many different business needs. The use cases range from Customer Lifetime Value & Churn prediction – to building fantastic recommender engines to further personalize Epidemic Sound’s offering.


You will be working closely with the backend data team in developing robust, scalable algorithms. You will improve the personalization of the product by:



  • Analysing behaviours of visitors, identifying patterns and outliers which can indicate their likelihood to Churn.

  • Developing classification systems through feature extraction on music to identify type & ‘feel’ of any given content.

  • Creating recommender engines so that the music our users see first, is relevant to them based on their behaviours.

  • Contributing to the automation of previously manual tasks, by leveraging the classification systems you’ve contributed to building.

  • Consulting on appropriate implementation of algorithms in practice – and actively identifying new use cases that can help improve Epidemic Sound!



What are we looking for?


We’re looking for a team member with a “no task is too small” mindset – we are at the beginning of our Machine Learning journey – so we need someone who thinks building something from scratch sounds exciting. 


It would be music to our ears if you have:



  • Deep understanding of machine learning (neural networks, deep learning, classification, regression)

  • Experience with machine learning in production

  • Experience with: tensorflow, keras, pytorch, sciki-learn, scipy, numpy, pandas or similar

  • Experience with ml projects in customer value or music information retrieval (MIR)

  • Fluency in python programming and a passion for production ready code

  • Experience from Google Cloud and/or AWS

  • MSc in a Quantitative or Computer Science based subject (Machine Learning, Statistics, Applied Mathematics)


Curious about our music? Find our music on Spotify here → https://open.spotify.com/user/epidemicsound


Application


Do you want to be a part of our fantastic team? Please apply by clicking the link below.

HelloFresh
  • Berlin, Germany

At HelloFresh, we want to change the way people eat. Over the past 5 years we've seen this mission spread beyond our wildest dreams. So, how did we do it? Our weekly recipe boxes full of exciting recipes and lovingly sourced, fresh ingredients have blossomed into a community of inspired, energised home cooks that expands across the globe. Now we're the fastest growing company in Europe, active and growing in 9 different countries across 3 continents.


Our story started in Berlin. As Europe’s tech hub, and the home of our global headquarters, it’s a dynamic, progressive environment where innovation is nurtured and promoted. Since we started, we’ve worked exceptionally hard and we’ve received almost US$ 300 million in investment which together have allowed us to create an award winning product.


As a member of HelloTech you’ll be exposed to a modern technology stack and a slick cross functional agile team setup. We have developed a refined product and provide scalability on a global level. Join our HelloTech team and help us to build a fresh food global champion!



About the job


At HelloFresh, Data Science is an interdisciplinary team that designs, implements, and maintains state of the art machine learning models to automate and optimize marketing, operations, logistics and customer experience. With our rapid company expansion, we are currently looking for a Technical Lead Data Scientist that is excited about turning innovative ideas into powerful data driven products. Working closely with the Data Scientists and Machine Learning Engineers, you will help bringing these ideas into reality and improve the experience of millions of customers around the globe.


To succeed in this role, you’ll need a hunger for discovering information in massive amounts of data, an attitude towards experimentation, fluency in machine learning techniques and software engineering best practices.



As a Technical Lead Data Scientist you will be responsible for



  • Deriving and maintaining a technical vision for end-to-end machine learning pipelines.

  • Playing a key role in ensuring the ongoing alignment and standards of our technology vision for the data science team.

  • Leading by example by translating business problems into quantitative terms and productionized models to presenting the results in clear and effective manner through visualization and prototyping.

  • Collaborating with cross-functional teams to discover innovative ways of leveraging vast repositories of user generated data.

  • Turning prototypes into production ready implementation.

  • Measuring performance over time, tuning, and inspecting models.

  • Sharing data solutions and intel through Open Source and promoting a data driven culture within a large international organization.



Who we’re looking for



  • Significant experience in tech industry.

  • Excellent educational background, MSc in a Computer Science, Mathematics, Physics, Computer Linguistics, or similar quantitative field.

  • Great engineering abilities and the capacity to design resilient distributed systems that are flexible and scalable.

  • A strong understanding of the state of the art in machine learning methods and in depth techniques for practical application.

  • Great coding skills in Python and knowledge of data libraries as sklearn and pandas. Knowledge about big data frameworks as spark is a plus.

  • Exceptional written and verbal communication skills, with an ability to listen and show empathy.

  • A self-organized individual, with excellent focus and prioritization of workload using business data and metrics.

  • A passionate leader with a proven track record of mentoring team members.



What we offer



  • HelloFresh is a place that lets you implement your own ideas and contribute to our open source repositories.

  • The opportunity to get into one of the most intellectually demanding roles at one of the largest technology companies in Europe.

  • Cutting edge technology, allowing you to work with state-of-the-art tools and software solutions.

  • Competitive compensation and plenty of room for personal growth.

  • Great international exposure and team atmosphere.

  • Work in a modern, spacious office in the heart of Berlin with excellent transport links and employee perks.

Indeed - Tokyo, JP
  • Tokyo, Japan

Your job.



The role of Data Science at Indeed is to follow the data. We log, analyze, visualize, and model terabytes of job search data. Our Data Scientists build and implement machine learning models to make timely decisions. Each of us is a mixture of a statistician, scientist, machine learning expert, and engineer. We have a passion for building and improving Internet-scale products. We seek to understand human behavior via careful experimentation and analysis, to “help people get jobs”.

You're someone who wants to see the impact of your work making a difference every day. You understand how to use data to make decisions and how to train others to do so. You find passion in the craft and are constantly seeking improvement and better ways to solve tough problems. You produce the highest quality Data Science solutions and lead others to do the same.


You understand that the best managers serve their teams by removing roadblocks and giving individual contributors autonomy and ownership. You have high standards and will take pride in Indeed like we do as well as push us to be better. You have delivered challenging technical solutions at scale. You have led Data Science or engineering teams, and earned the respect of talented practitioners. You are equally happy talking about deep learning and statistical inference, as you are brainstorming about practical experimental design and technology career development. You love being in the mix technically while providing leadership to your teams.


About you.


Requirements   



  • Significant prior success as a Data Scientist working on challenging problems at scale

  • 5+ years of industrial Data Science experience, with expertise in machine learning and statistical modeling

  • The ability to guide a team to achieve important goals together

  • Have full stack experience in data collection, aggregation, analysis, visualization, productionization, and monitoring of Data Science products

  • Strong desire to solve tough problems with scientific rigour at scale

  • An understanding of the value derived from getting results early and iterating

  • Strong ability to coach Data Scientists, helping them improve their skills and grow their careers

  • Ph.D. or M.S. in a quantitative field such as Computer Science, Operations Research, Statistics, Econometrics or Mathematics

  • Passion to answer Product/Engineering questions with data

  • Proficiency with the English language 


We get excited about candidates who



  • Can do small data modeling work: R, Python, Julia, Octave

  • Can do big data modeling work: Hadoop, Pig, Scala, Spark

  • Can fish for data: SQL, Pandas, MongoDB

  • Can deploy Data Science solutions: Java, Python, C++

  • Can communicate concisely and persuasively with engineers and product managers



Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.


View our bounty of perks: http://indeedhi.re/IndeedBenefits  

Eliassen Group
  • Atlanta, GA

Machine Learning Engineer

$120-135k+ annual compensation plus bonus potential (flexible for right person)


We are seeking an experienced Machine Learning Engineer to join our Next Generation software team building an innovative platform that will be utilized worldwide. In this role you will play a pivotal role innovating new, globally consumed B2B software products. 


Qualifications: 

  • Theoretical and practical understanding of data mining and machine learning techniques such as: GLM/Regression, Random Forest, Boosting, Trees, text mining, Deep learning, social network analysis, Optimization, NLP, Probabilistic Inference, Information Retrieval, Recommendation Systems.
  • Strong coding and debugging skills in one or more of the following technologies: Java, Python, PySpark.ML, R, H2O, SparklyR , Pandas, Scikit-learn, Spark-Mllib


Please forward resumes to Steve Fritsch (sfritsch@eliassen.com)

Railinc
  • Headquarters: Cary, NC URL: h
Headquarters: Cary, NC URL: https://www.railinc.com/rportal/web/guest/home [https://www.railinc.com/rportal/web/guest/home] Primary Accountability/Responsibility: Responsible for modeling complex business problems, discovering business insights and identifying opportunities through the use of statistical, algorithmic, data mining, machine learning, and visualization techniques. In addition to advanced data analytics skills, this role is also proficient at integrating and preparing large, varied datasets, and communicating results and recommendations based on the model/analysis to both technical and non-technical audiences. This role is also able to recommend the most effective data science approaches for various challenges and will be able to implement these approaches independently without guidance as well as guide other data scientists in their efforts. Additionally, the lead data scientist will be able to manage data science teams and help drive the organization’s technology vision, be up to date with the state of technology, and help ensure the organization makes forward-looking strategic decisions in its data science approach. Job AccountabilityResponsibilitiesKey MeasuresEssential Functions • 35%: Conduct analytical research, develop prototypes and contribute to production-ready solutions. Business domains include but are not limited to:o Fleet Utilization for Railroads and Equipment Ownerso Miles & time between car repair incidentso Railroad yard traffic predictionso Predictive modeling of maintenance, ETAs, etc.o Internal measurement developmento Data quality evaluationso Data enrichmento Prototype reports to be included in production systems • 35%: Deliver analytical projects by:o Working with project managers to define schedule and deliver results to all customers and internal stakeholders and managing expectationso Collaborating with IT resources to develop and optimize production solutionso Creating and documenting repeatable solutions for meeting ongoing customer needso Communicating the results and methodology to internal and external stakeholders • 20%: Drive the organization’s data science and technology vision through research on the state of the art in data science technologies to ensure forward-thinking strategic decisions and recommendations • 10%: Gather, interpret, and translate customer needs into business problems that can be solved via advanced analytics methodologies by:o Working with business stakeholders and/or facilitate data analysis opportunity discussionso Leading solution analysis, definition, and requirements gathering for data serviceso Prioritizing data analysis using rail industry priorities & business cases • Collaborate with other data scientists to drive data analysis methodology, repeatable and structured • Exercise judgment within generally defined practices and policies in selecting methods and techniques for obtaining solutions • Takes the lead on analytical projects, and may lead the projects of other data scientists and analytical consultants • Work with manager to finalize priority and deadlines, and adjust & communicate as necessary • Customer feedback and delivery against commitments Non-Essential Functions • Support and improve internal decision making • Develop measurement dashboards • Conduct and report industry trend and market analysis to meet industry needs • Performs other duties as assigned • Customer feedback and delivery against commitmentsSuccess Factors: • Knowledge/Skills/Abilities Minimum Requirements • Superior analytical skills with working knowledge of basic statistical, predictive and optimization models • Experience in leading and managing data science teams • Strong programming proficiency and working experience (10+years) in a subset of Python, R, Scala, Java (Python preferred) • Strong proficiency and experience (10+ years) with data science and machine learning software stacks, e.g. NumPy, Pandas, SK-learn for Python • Programming proficiency in Spark and MLlib (3+ years) • Working experience with and understanding of large-scale data analysis systems, e.g. Hadoop or MPP databases (5+ years) • Proficiency and experience with SQL (10+ years) • Significant experience (10+ years) implementing machine learning and data science models, including through production • Strong theoretical and practical knowledge of machine learning models and algorithms (unsupervised and supervised), their use in applications, and their advantages and disadvantages • Strong knowledge of code-based data visualization tools (e.g. matplotlib) for data exploration and to present models and results to internal and external stakeholders • Experience with cloud-based systems and toolsets (3+ years) • Experience and understanding of experiment design and evaluation • Knowledge of big data engineering toolsets a plus • Superior data preparation skills; be able to access, transform and manipulate Railinc and external customer data in its base form • Superior problem-solving skills • Entrepreneurial mindset and business understanding • Up to date with the state of the art in the data science technology and related infrastructure and services space • Strong team management and leadership skills • Strong verbal and written communication skills • Ability to work effectively with clients, IT management, business management, project managers, and IT staff • Ability to manage multiple activities in a deadline-oriented environment; highly organized and flexible • Ability to work independently and jointly in unstructured environments in a self-directed way • Ability to take a leadership role on engagements and with customers • Strong teamwork skills and ability to work effectively with multiple internal customersAdditional Requirements: • Education • Experience • Certifications • Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research, business, economics) • A minimum of 10 years related work experience • Strong statistical analysis and methodology experience • Experience with analytics tools and big data platforms • Experience with business intelligence and analyticsPhysical RequirementsList physical activities and requirements, including but not limited to: • Sedentary work: assignment involves sitting at workstation (desk) most of the time (up to 8 hours) with only occasional walking and/or standing • Keyboarding: Primarily using fingers for typing • Talking: Expressing or communicating verbally through use of spoken words (accurately conveying detailed or important spoken instructions to others) • Hearing: Ability to receive detailed information through oral communication and to make discriminations in sound. • Visual: Through close visual acuity, required to perform activities such as: preparing and analyzing data and figures; transcribing; viewing computer terminal; extensive reading (with or without correction) • Environment: work is performed within an office setting and therefore no substantial exposure to adverse environmental conditions (i.e. extreme heat, cold, noise, etc.). Customer visits may be done at railroad facilities, which would require appropriate safety equipment. • Travel: Some travel may be required (up to 25%).To apply: https://recruiting.ultipro.com/RAI1006RLNC/JobBoard/d0e5b848-54f5-44c4-8878-c03cf9954c79/OpportunityDetail?opportunityId=0bf87568-7bb1-4013-97e8-cc3e72cf8194 [https://recruiting.ultipro.com/RAI1006RLNC/JobBoard/d0e5b848-54f5-44c4-8878-c03cf9954c79/OpportunityDetail?opportunityId=0bf87568-7bb1-4013-97e8-cc3e72cf8194]
komoot
  • No office location

Millions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times—and we are consistently ranked amongst the highest-grossing apps in both Google Play and the App Store.
To help us better drive data-driven product decisions and strategy, we’re looking for a  skilled and curious data analyst who will play a crucial role in building the future of outdoor experiences.


What will you do



  • Turn events and data into actionable insights

  • Develop analysis to drive product and business decisions and company strategy

  • Design and implement metrics, dashboards, and continuous reports

  • Communicate and discuss  findings to different audiences (Co-founders, marketing, product, sales etc.)

  • Working closely with teams throughout the company

  • Be an evangelist of data-driven decision-making



Why you will love it



  • You’ll be a key player in making product development, marketing and business decisions

  • You’ll work closely with komoot’s co-founder and influence the future direction of komoot

  • You’ll work with a modern and powerful cloud analytics platform based on AWS

  • You’ll work in a fast-paced startup with strongly motivated and talented co-workers

  • You’ll enjoy the freedom to organize yourself the way you want

  • We let you work from wherever you want, be it a beach, the mountains, your house or anywhere else that lies in any time zone situated between UTC-1 and UTC+3

  • You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides


You will be successful in this position if you



  • Have a burning desire to transform data into actionable insights

  • Have 2+ years of relevant experience interpreting data

  • Have strong and proven skills in SQL and Pandas

  • Have strong communication skills

  • Have fundamental Python and statistical skills

  • Have a hands-on attitude and are highly self-driven



Sounds like you?


Then send us the following:



  • Your CV

  • A write-up explaining who you are and why you are interested in working at komoot

  • Examples of your work (e.g. Dashboards, PDFs, Slideshare, etc.)

  • Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account

Facebook
  • Menlo Park, CA

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.


We are seeking a Data Scientist to join our AI Data Science and Analytics team, focusing on Video Understanding. Facebook is the second largest online video platform in the world. Video at its heart is a social experience, as people talk about and talk through video. Users upload their own videos. They go Live and broadcast to their friends. Pages upload tens of millions of hours a day. The mission of the Video Understanding team at Facebook is responsible to create highly personalized video experiences for Facebook users. This means understanding what a video is about, as well as what a given user is interested in. This role is focused on better understanding the ecosystem of videos on Facebook. That includes better understanding the types of videos we have (classification by different content types and publisher types); better understanding the types of user interactions we have (substantive discourse versus platitudes versus shares); better understanding the impact of video watching on our users, so that we can build brand new, personalized video experiences for our users.
We are looking for strong Data Scientists to help the team build compelling, personalized experiences around Video. This role works closely with both product and engineering teams to help define and execute on opportunities to improve and expand our video understanding and recommendation systems. Successful candidates for this role will have a background in a quantitative or technical field, will have experience with personalization, video ecosystems and working with large data sets, and will have experience in influencing decision making across different teams through data.

Responsibilities

  • Apply your analytical skills to gain deep insights into the data and ML model performance, and be able to clearly present your results and help guide cross-functional partners
  • Partner closely with Engineering, Product and User Research teams to solve problems and identify trends and opportunities. This is a very cross-functional role
  • Influencing the roadmap and decisions made by the team through presentation of data-based recommendations, and clearly communicating the state of the video understanding effort, experiment results, etc. to product teams
  • Partner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
  • Effectively communicate insights and recommendations to upper management in support of strategic decision-making
  • Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering, to data processing and modeling
  • Own ongoing deliverables and communications

Minimum Qualifications

  • MS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, applied mathematics, physics, electrical engineering, industrial engineering) or equivalent experience
  • 10+ years experience doing quantitative analysis or statistical modeling
  • Knowledge of at least one modeling framework (e.g., scikit-learn, TensorFlow, SAS, R, MATLAB)
  • Experience influencing product strategy through data-centric presentations (to product, business, and other stakeholders)
  • Knowledge in at least one of the following areas: predictive modeling, machine learning, experimentation methods
  • Experience extracting and manipulating large datasets
  • Development experience in any scripting language (PHP, Python, Perl, etc.)
  • Experienced with packages such as NumPy, SciPy, pandas, scikit-learn, dplyr, ggplot2

Preferred Qualifications

  • 5+ years experience leading technical teams
  • Experience with distributed computing (Hive/Hadoop)

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Trilogy Education Services, Inc.
  • Miami, FL
Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, and Cybersecurity. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy.
Our programs have been in existence since 2015, and since then, we've launched an additional 300 classes across the nation. We have hired more than 1,900 Instructors and Teaching Assistants to support our students.
The Job
Trilogy Education is seeking an experienced Data Analyst who has a passion for teaching individuals how to code. Our students have a diverse background, from working professionals to fresh-out-of-college people who seek to transition into careers in data analytics and visualization positions.
Our Data Analytics And Visualization Program
For too many companies, Big Data isnt the solution to a problemBig Data is the problem. The Data Analytics and Visualization course provides learners with the knowledge, skills, and expertise to turn data, into insights, and into actionable recommendations to improve processes and drive company growth. Starting with Microsoft Exceland advancing through Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and morestudents work their way through the industrys most popular programming languages, software, and libraries in data analytics.
Why teach with us?
Are you passionate about education and making an impact? Do you love empowering others to find life-changing opportunities. Wed love to hear from you! If you bring knowledge, strong communication, and a positive energy to the classroom, you're going to help our students along their transformative path to a successful and rewarding career. Prior teaching experience isn't a prerequisite for success as an Instructor or Teaching Assistant within Trilogy.
We'll provide the guidance, training, lesson plans, and tools to support you on your journey of impacting lives in the classroom.
What You Will Do
    • Take attendance at the start of class via Bootcampspot
    • Ensure the Instructor is staying on track with regards to time
    • Walk around class during code activities and projects to assist students
    • Research and answer student questions when the instructor is unable to
    • Grade all homework assignments

Technology Language Skills
    • Python Pandas
    • Matplotlib
    • Beautiful Soup
    • JavaScript
    • HTML5
    • CSS3
    • D3
    • Leaflet
    • SQL, noSQL
    • Tableau
    • Machine Learning, Hadoop

What Makes You a Great Fit (Requirements)
    • Minimum of 1 year of work experience
    • A positive attitude
    • Share your own professional experiences and industry insight with the students
    • Support our students individually as they go through an emotional roller coaster
    • Be able to infuse empathy, support, encouragement, and fun into the student experience

Logistics
    • 24-week program
    • Mon/Wed/Sat OR Tue/Thu/Sat Schedule
    • Weekday Classes: 6:15pm - 10:30pm (includes office hours and break)
    • Saturday Classes: 9:30am - 2:30pm (includes office hours and lunch break)
Trilogy Education Services, Inc.
  • Miami, FL
Trilogy Education partners with universities to offer programs in Web Development, Data Analytics, UX/UI Design, and Cybersecurity. Our platform combines a market-driven curriculum, robust career services, and a multinational community of universities, instructors, and employers to prepare adult learners for careers in the digital economy.
Our programs have been in existence since 2015, and since then, we've launched an additional 300 classes across the nation. We have hired more than 1,900 Instructors and Teaching Assistants to support our students.
The Job
We are looking for an experienced Data Analyst to teach our part time Data Analytics and Visualization class at University of Miami. Our instructors are an essential piece to our students experience with us. You must bring a positive attitude and be able to infuse empathy, support, encouragement and fun into the classroom. As an instructor you will need to have the ability to deliver our lesson plans that are being taught across the country; while at the same time sharing your own professional experiences and industry insight with the students.
Our Data Analytics And Visualization Program
For too many companies, Big Data isnt the solution to a problemBig Data is the problem. The Data Analytics and Visualization course provides learners with the knowledge, skills, and expertise to turn data, into insights, and into actionable recommendations to improve processes and drive company growth. Starting with Microsoft Exceland advancing through Python, JavaScript, HTML/CSS, API Interactions, Social Media Mining, SQL, Hadoop, Tableau, Advanced Statistics, Machine Learning, R, Git/GitHub, and morestudents work their way through the industrys most popular programming languages, software, and libraries in data analytics.
Why teach with us?
Are you passionate about education and making an impact? Do you love empowering others to find life-changing opportunities. Wed love to hear from you! If you bring knowledge, strong communication, and a positive energy to the classroom, you're going to help our students along their transformative path to a successful and rewarding career. Prior teaching experience isn't a prerequisite for success as an Instructor or Teaching Assistant within Trilogy.
We'll provide the guidance, training, lesson plans, and tools to support you on your journey of impacting lives in the classroom.
What You Will Do
    • Lead lectures and educational coding activities
    • Answer questions from the stage
    • Walk around the classroom during coding activities and in-class projects to assist the students, as needed
    • Ensure Panopto is turned on and actively recording the class lecture to help us continuously improve
    • Upload all class content to Students Git Repository
    • Create Homework Assignments in Bootcampspot
    • Ensure that homework is graded on-time; and occasionally assist with grading

Technology Language Skills
    • Python Pandas
    • Matplotlib
    • Beautiful Soup
    • JavaScript
    • HTML5
    • CSS3
    • D3
    • Leaflet
    • SQL, noSQL
    • Tableau
    • Machine Learning, Hadoop

What Makes You a Great Fit (Requirements)
    • Bachelor's Degree
    • Minimum of 5 years of work experience
    • A positive attitude
    • Ability to deliver our lesson plans that are taught in classrooms across the country to the student body
    • Share your own professional experiences and industry insight with the students
    • Support our students individually as they go through an emotional roller coaster
    • Be able to infuse empathy, support, encouragement, and fun into the student experience

Logistics
    • 24-week program
    • Mon/Wed/Sat OR Tue/Thu/Sat Schedule
    • Weekday Classes: 5:45pm - 10pm (includes office hours and break)
    • Saturday Classes: 9:30am - 2:30pm (includes office hours and lunch break)
Blue Yonder GmbH
  • Karlsruhe, Germany

At Blue Yonder, we employ state-of-the-art machine learning algorithms to generate hundreds of millions of microdecisions for large retail enterprises every day. Full automation allows us to shape supply chains and set selling prices such that customers never face empty shelves, less groceries go to waste, and fashion stores no longer end up with heaps of surplus clothes at the end of season.


Our retail products run on the Blue Yonder platform that provides all necessary services to deliver best decisions to our customers. Our platform defines standard APIs for customer payload data exchange and offers the computational punch for our data scientists, scaling from a single CPU to hundreds of cores and terabytes of RAM within seconds. All this happens for all customers on the same shared infrastructure hosted on Microsoft Azure.


As one of a few companies world wide, we have solved the tough problem of bringing data science to production while keeping costs and operations at bay. Now part of the JDA family, we continue to relentlessly drive innovation to pursue our vision of the autonomous supply chain. On the way, we have solved, and will solve plenty of interesting and challenging problems, and we would love to have you on board for that journey.


To support our teams in Karlsruhe and Hamburg, we are looking for a Data Engineer (m/f).


Your tasks



  • Work together with our machine learning experts, engineers and project managers to advance our data science products

  • Design and develop data-intensive distributed systems in Python with focus on data engineering

  • Use technologies such as Pandas and Dask, as well as modern NewSQL query engines like Presto or Apache Impala in the cloud

  • Support on-boarding new customers with your expertise in organizational or data-intensive tasks

  • Work in an agile team with emphasis on quality, testability and automation 


Your experience



  • In-depth knowledge of Python, Pandas and its open-source ecosystem

  • Expertise in working with SQL

  • Interest in data handling with modern tools such as Apache Airflow, Apache Parquet, Dask and Presto

  • Knowledge in techniques for data modeling, storage and access

  • Passion for software craftsmanship and interest in modern methods such as Kanban, TDD and pair programming


Are you super thrilled about the opportunity, but afraid to apply because you are not checking all boxes above? Please don't be shy. We will do our best to hire for potential rather than your current qualifications.


We live for pushing artificial intelligence forward and scalable solutions. Joining our team means you can look forward to working with our people on realizing creative ideas and see how they operate in the resulting solutions. Mutual respect, friendly relationships and results-oriented work are an important part of our environment. We strive to be a family-friendly business and are open to modern working structures. We enjoy delivering the highest-quality work and like clean coding just as much as our social barbecues, contributing to open source projects, discussing new technologies and spending quality time with our families at home.


We believe that the individuality and diversity of our employees make a decisive contribution to our success. Our hiring process is based on qualifications and career profile. We welcome applications from all motivated candidates, regardless of age, gender, disability, sexual orientation, origin or religion.


Want to join our team? 


Please send your application email to jobs@blue-yonder.com.

Toptal
  • No office location

As the Director of Analytics you will lead and develop advanced analytic capabilities to provide deep business insights and accelerate Toptal’s data-driven decision making.


This is a remote position that can be done from anywhere.


Responsibilities:


In this role, you will own the development and ongoing leadership of an exceptional analytics function supporting the entire Toptal business. Initial responsibilities will include establishing a proactive and data-driven team that is aligned with the strategic business needs of key stakeholders. You will provide strong leadership and direction of a team tasked with development and execution of a comprehensive analytics strategy, while providing timely and robust insights for decision-making that drives critical business decisions supporting Toptal’s aggressive growth plans. You will be tasked with ensuring that the technical requirements to support the analytics function aligns with our overall technical vision and roadmap.


You will work in an entirely distributed company and help define an entirely new space while learning about how an organization is built from the ground up.


In the first week you will:



  • Onboard and integrate into Toptal.

  • Rapidly begin learning about Toptal’s history, culture, and vision.

  • Shadow key teams across the company to learn the core of Toptal’s operations and capabilities.


In the first month you will:



  • Complete a current state assessment.

  • Define processes that govern the intake and prioritization of business requests, estimating, and ensure accurate and timely completion of work in progress.

  • Catalog and communicate what is available to the business in current state.

  • Stabilize ETL flows.

  • Validate that the data store is well architected and makes sense from a business use perspective, and make recommendations for improvement.

  • Evaluate current ad-hoc reporting capabilities and recommend future state to ensure agile response.


In the first three months you will:



  • Partner with stakeholders to define the purpose and long term vision of the role that the Analytics Team serves in Toptal.

  • Recommend, gain agreement, and restructure the Analytics Teams to ensure efficient execution.

  • Clearly define what blend of data vision and exploration versus serving the functional needs is appropriate.

  • Provide leadership and direction to the Analytics Team to overhaul existing technologies with a goal to have a scalable, robust ETL layer and a near-real time data store that supports both the business and KPI reporting.

  • Dig into the data to validate designs, performance, data granularity, data recency, and more. You will not just make high-level recommendations.


In the first six months you will:



  • Develop advanced analytic capabilities by providing a vision for how data science and machine learning capabilities can propel our business forward.

  • Rapidly gain an understanding of the business requirements and design roadmaps that respond to Toptal’s short and long-term strategic direction.

  • Provide role clarity to the existing team and determine and close gaps which will drive future hiring decisions.

  • Hire and retain the best team that can propel the Analytics vision forward.


In the first year you will:



  • Grow the Analytics Team to support the aggressive growth trajectory that Toptal has planned.


Requirements:



  • Proven capability in building and managing an analytics organization supporting multiple teams.

  • Self-starter who is able to be hands on and can analyze, interpret and derive insights into business reports, analytic models, and data sources.

  • Ability to learn business processes at a near native level to understand the role that analytics plays in supporting the business.

  • Ability to interpret business requirements into data structures, lineage(business purpose), and metadata required.

  • Working knowledge of master data management.

  • Demonstrated experience with modern data technologies including, columnar data structures, unstructured data, NoSql, machine learning, and cognitive.

  • Knowledge of foundational BI concepts such as 3NF, denormalization, OLAP, and slowly changing dimensions.

  • Exposure to python, pandas, and familiarity with open source BI tools.

  • Experience working with Agile Project Management methodologies.

  • Experience coaching and growing individuals in analytics, data affluency, and reporting.

  • Ability to negotiate competing priorities in the business.

  • Exceptional communication skills.

  • Ability to build relationships at an executive level.

  • You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.

Toptal
  • No office location

As the Director of Analytics you will lead and develop advanced analytic capabilities to provide deep business insights and accelerate Toptal’s data-driven decision making.


This is a remote position that can be done from anywhere.


Responsibilities:


In this role, you will own the development and ongoing leadership of an exceptional analytics function supporting the entire Toptal business. Initial responsibilities will include establishing a proactive and data-driven team that is aligned with the strategic business needs of key stakeholders. You will provide strong leadership and direction of a team tasked with development and execution of a comprehensive analytics strategy, while providing timely and robust insights for decision-making that drives critical business decisions supporting Toptal’s aggressive growth plans. You will be tasked with ensuring that the technical requirements to support the analytics function aligns with our overall technical vision and roadmap.


You will work in an entirely distributed company and help define an entirely new space while learning about how an organization is built from the ground up.


In the first week you will:



  • Onboard and integrate into Toptal.

  • Rapidly begin learning about Toptal’s history, culture, and vision.

  • Shadow key teams across the company to learn the core of Toptal’s operations and capabilities.


In the first month you will:



  • Complete a current state assessment.

  • Define processes that govern the intake and prioritization of business requests, estimating, and ensure accurate and timely completion of work in progress.

  • Catalog and communicate what is available to the business in current state.

  • Stabilize ETL flows.

  • Validate that the data store is well architected and makes sense from a business use perspective, and make recommendations for improvement.

  • Evaluate current ad-hoc reporting capabilities and recommend future state to ensure agile response.


In the first three months you will:



  • Partner with stakeholders to define the purpose and long term vision of the role that the Analytics Team serves in Toptal.

  • Recommend, gain agreement, and restructure the Analytics Teams to ensure efficient execution.

  • Clearly define what blend of data vision and exploration versus serving the functional needs is appropriate.

  • Provide leadership and direction to the Analytics Team to overhaul existing technologies with a goal to have a scalable, robust ETL layer and a near-real time data store that supports both the business and KPI reporting.

  • Dig into the data to validate designs, performance, data granularity, data recency, and more. You will not just make high-level recommendations.


In the first six months you will:



  • Develop advanced analytic capabilities by providing a vision for how data science and machine learning capabilities can propel our business forward.

  • Rapidly gain an understanding of the business requirements and design roadmaps that respond to Toptal’s short and long-term strategic direction.

  • Provide role clarity to the existing team and determine and close gaps which will drive future hiring decisions.

  • Hire and retain the best team that can propel the Analytics vision forward.


In the first year you will:



  • Grow the Analytics Team to support the aggressive growth trajectory that Toptal has planned.


Requirements:



  • Proven capability in building and managing an analytics organization supporting multiple teams.

  • Self-starter who is able to be hands on and can analyze, interpret and derive insights into business reports, analytic models, and data sources.

  • Ability to learn business processes at a near native level to understand the role that analytics plays in supporting the business.

  • Ability to interpret business requirements into data structures, lineage(business purpose), and metadata required.

  • Working knowledge of master data management.

  • Demonstrated experience with modern data technologies including, columnar data structures, unstructured data, NoSql, machine learning, and cognitive.

  • Knowledge of foundational BI concepts such as 3NF, denormalization, OLAP, and slowly changing dimensions.

  • Exposure to python, pandas, and familiarity with open source BI tools.

  • Experience working with Agile Project Management methodologies.

  • Experience coaching and growing individuals in analytics, data affluency, and reporting.

  • Ability to negotiate competing priorities in the business.

  • Exceptional communication skills.

  • Ability to build relationships at an executive level.

  • You must be a world-class individual contributor to thrive at Toptal. You will not be here just to tell other people what to do.

YouGov
  • Warsaw, Poland
  • Salary: £45k - 55k

Are you our next Senior Data Scientist? 


We don’t just collect data, we connect data. YouGov is an international data and analytics group with the ambition to become a unique part of the global internet infrastructure - like Google for search, Facebook for social, Amazon for retail, we want it to be YouGov for opinion. Our value chain is a virtuous circle consisting of a highly engaged online panel, innovative data collection methods and powerful analytics technology. From the beginning we had one simple idea: the more people are able to participate in the decisions made by the institutions that serve them, the better those decisions will be. We are a global online community for millions of people, and thousands of organisations, to engage in a continuous conversation about their beliefs, behaviours and brands, and provide a more accurate portrait of what the world thinks. 


We are looking for a Senior Data Scientist to work in the Data Science and Architecture Team (DSAT).  A core team within the global innovations department, DSAT cooperates closely with senior stakeholders to deliver new data product offerings and insights. The successful candidate will already have minimum 3 years of experience in data science, enjoys working in a team, and is ready to think creatively to find solutions and add value to our products. They will join our vision of making information more insightful and more widely available.


What will I be doing day to day? 



  • Use machine learning on a wide array of large, complex datasets

  • Communicate insights in a clear, straightforward manner

  • Deliver actionable, data science-informed contributions to internal and external projects

  • Work with senior stakeholders on global projects

  • Guide and develop junior members of the team


You are:



  • Passionate about creatively using data to solve problems

  • A self-starter, keen to learn new technologies at a fast pace

  • Undaunted by big challenges


What do I need to bring with me?



  • MSc or PhD in a quantitative discipline (e.g. Computer Science, Statistics, Maths or similar)

  • Experience with applying supervised and unsupervised learning algorithms to deliver actionable insights using Python (pandas, sklearn, matplotlib) and R (tidyverse, ggplot2)

  • Experience with wrangling large, unstructured datasets

  • Experience with efficiently conveying complex results to non-technical stakeholders

  • Experience with database languages (SQL)

  • Experience with creating production-ready machine learning pipelines a plus

  • Experience in version control, code reviews, and test-driven development a plus

  • Experience with cloud services (AWS) a plus

  • Experience with containerisation using Docker a plus

  • Project management experience (being able to translate business needs into analytical questions and deliver actionable results in timely manner)

  • Line management experience a plus


Experience in one or more:



  • AB testing or multivariate testing

  • Predictive modelling for churn prevention

  • Predictive modelling for fraud detection

  • Market segmentation using clustering techniques

  • Time series analysis/forecasting

  • Anomaly detection

  • Attribution modelling or marketing mix modelling


Any additional info...


This is a full time position, based out of our tech hub in Warsaw, Poland or work remotely. 

Schneider
  • Headquarters: Green Bay, WI U
Headquarters: Green Bay, WI URL: https://schneiderjobs.com/ [https://schneiderjobs.com/] Schneider is seeking an innovative and collaborative Data Scientist Lead to join our growing team! Our Data Scientist Leads analyze and interpret large data sets to develop data-driven recommendations to solve current business challenges in real time. Using licensed cutting-edge modeling and visualization tools like R, Tableau and Python, you will collaborate with multi-disciplinary teams to design, build, test, and implement advanced machine learning models. You will provide strategic leadership and project direction to coordinate team efforts and influence key decision makers. At Schneider, you will also bring technical rigor and statistical methods to tackle the challenges of matching carriers with freight, optimizing pricing and order acceptance thresholds, and understanding the behavior of customers and our associates. The Data Scientist Lead will: * Create innovative machine learning models and technical frameworks that address and help solve complex business demands * Collaborate cross-functionally with engineers and additional Tech associates to implement continuous improvement solutions and inform business of recommendations * Provide strategic leadership and support to team members; influence without authority * Self-direct project work while continually building own skillset * Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations By choosing a career with Schneider, we improve your life by offering: Annual profit sharing bonuses available * Strong work/life balance that includes paid holidays and generous personal time off * Medical, dental and vision insurance plus company-paid life insurance * 401(k) savings plan with company match plus a company-paid retirement plan * Tuition reimbursement and free financial service assistance * Health Care Spending Account * On-site services including cafeteria, gym and fitness classes, walking/jogging trail, ATM, personal mail services, company store and much more * Resilient, values-based culture that drives safety, integrity in every action, respect and excellence in all we do * Individual development opportunities through company-paid training, active leadership involvement and more than 170 online personal development courses Our preferred candidate will have: * Experience with machine learning software (e.g., R, Python, SPSS, SAS), data access/manipulation (e.g., SQL, pandas, dplyr) and NoSQL databases (e.g., MongoDB, Cassandra, HBase) required; experience with cloud computation (AWS, Azure) highly desired * Experience with freight brokerage or pricing required * PhD Degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering) plus a minimum of five years of relevant work experience (e.g., as a data scientist / statistician / computational biologist / bioinformatician), including experience with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods. OR Masters Degree plus a minimum of six years of relevant work experience Company Overview: Schneider is a premier provider of truckload, logistics and intermodal services. Offering the broadcast portfolio of services in the industry, Schneider’s solutions include Van Truckload, Dedicated, Bulk, Intermodal, Transportation Management, Supply Chain Management, Warehouse and Port Logistics services. A $4 billion dollar company, Schneider has provided expert transportation and logistics solutions since 1935. Our Core Values: Safety-first and always Integrity in every action Respect for all Excellence in all that we do To apply: https://schneider.taleo.net/careersection/7/jobdetail.ftl?job=183418&lang=en&src=futurejobs.io [https://schneider.taleo.net/careersection/7/jobdetail.ftl?job=183418&lang=en&src=futurejobs.io]
Duo Security
  • Austin, TX

As Duos advanced research team, Labs leverages its deep industry knowledge and innovation to protect customers and the public at large. Spanning security researchers, engineers and data scientists, they prototype new features and products, build internal tools, and analyze datasets.


Duo Security, now a part of Cisco, is the leading provider of Trusted Access security and multi-factor authentication delivered through the cloud.


Duos mission is to make security simple for everyone. We were born from a hacker ethos and a desire to make the Internet a secure place. We believe in empowering people to follow their passions inside and outside of the office and enable every employee to bring their whole self to work.


Our team is our secret weapon. We run the spectrum from artists to analysts, low-key to high energy, and bring together a diversity of skill sets, experiences, and perspectives to solve what we consider to be the world's most pressing geopolitical challenge transforming the security industry as we know it. Together we build solutions that are easy, effective, trustworthy, and enduring. And thats why we are the most loved and trusted company in security.


Are you passionate about machine learning and solving hard security problems to help organizations of all sizes? Do you want to be a part of a pragmatic and diverse group of data scientists while collaborating with security experts in Duos industry-leading security department? If yes, then you might be a good fit for this role.


On Duos data science team, we use machine learning and statistics to bring new product capabilities and analytical insights to our customers. We sit inside of Duo Labs, an advanced research group that uses deep industry knowledge and innovation to protect customers and the public at large. Spanning security researchers, engineers and data scientists, Labs prototypes new features and products, builds internal tools, and extracts insights from data.


What you'll do...
  • Research and prototype new threat detection product features, making Duos products even more effective and usable.
  • Develop machine learning approaches to address key challenges, such as robustness against active adversaries, explainability of predictions, and usability by organizations with limited security resources. Publication is encouraged.
  • Design machine learning systems that deliver highly scalable, low-latency results on streaming data.
  • Influence strategic direction for the data science at Duo.
  • Work closely with Duos engineering team to deliver your advances into the hands of millions of users at thousands of Duo customers.


You should have...
  • Understanding of machine learning algorithms and experience implementing them. You know how to test whether your classifier is working and how to fix problems if it isnt. You can develop custom approaches to challenging problems.
  • An MS or PhD in a quantitative field such as statistics or computer science, or demonstrated ability to perform original research.
  • Familiarity with at least one data analysis environment (Python/pandas/sklearn, R, etc.).
  • Proficiency in software engineering (source control, writing modular and testable code, etc.).
  • A penchant for working collaboratively within and across teams.
  • The ability to clearly communicate your ideas to people without a background in machine learning.
  • The agility to work in the rapid, unpredictable environment of a high-growth tech organization.


Even better if you have...
  • A solid foundation in statistics, including the ability to design and analyze results of experiments.
  • Experience working on security and privacy problems.
  • Experience performing machine learning at scale, especially using Apache Spark and Amazon Web Services.
  • Experience modeling time series data.
  • Applied deep learning to solve a problem.
  • Visualization skills.
  • Experience building production software.


3 Reasons why you should apply
  • Access to large stores of data, computing resources, and anything else you need to help you get your job done.
  • A company culture of kindness, transparency, and learning. Employees love Duo.
  • Ability to positively impact millions of users. Customers love Duo.


This job may not be for you if
  • You stress under ambiguity and lack of precedent. Were building something new and that often means clearing our own path.
  • You want a pure research role. Making sure our solutions work at scale requires us to collaborate closely with the data engineering team on challenging engineering problems. Our job is not finished when we have a working prototype.
  • You want to spend your days hacking the planet. Keep an eye out for security researcher roles on our Duo Labs team.


Duo is committed to cultivating and preserving a culture of inclusion and connectedness. We are able to grow and learn better together with a diverse team of employees. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and Duos achievement as well. In recruiting for our team, we welcome the unique contributions that all potential candidates can bring in terms of their education, opinions, culture, ethnicity, race, gender identity and expression, nationality, age, languages spoken, veterans status, religion, disability, sexual orientation and beliefs.

And if this role is exciting you, we encourage you to apply even if you dont meet all 100% of the description or qualifications. Finally and most importantly, we are a proud Equal Opportunity Employer

IBM
  • Austin, TX
The Role
We are seeking an architect to help ensure that data science applications and the most important learning frameworks leveraging the Python ecosystem offer industry-leading performance when run on the POWER microprocessor.

Your Impact
As part of the team that designed the #1 & #2 fastest supercomputers in the world, you will be part of a high profile initiative to optimize performance across all layers of the Python AI software stack for Power. This work will include libraries, Python packages, and learning frameworks such as TensorFlow and PyTorch for Power. This project provides opportunities to innovate in software optimization as well as exploitation of bleeding edge hardware architectures in upcoming processors.

Description
This role will involve identifying the libraries, frameworks and packages in the Python ecosystem that are most critical to machine learning/deep learning engineers and data scientists. Industry-standard benchmarks as well as open-source data sets and customer workloads will be used to stress this code in order to identify opportunities across the stack for performance improvement. Code will also be run on competitive platforms to understand relative areas of strength and weakness. Deliverables will include code implementation and improvements, tuning recommendations and whitepapers as well as sales collateral, and providing performance feedback to open source communities. Insights gained will be fed to hardware design teams to improve next-generation hardware.

Key Qualifications
  • Prior experience working with the Python community and CPython implementation.
  • Deep understanding of underlying mathematical operations that drive ML and Neural Networks
  • Experience with prototyping, extending the architecture and optimizing to leverage multi-threading, SIMD, or other accelerators such as GPUs or FPGAs
  • Strong understanding of memory layout, micro-architecture implications and experience working with compilers and interpreters
  • Hands-on experience with projects utilizing machine learning and deep learning techniques with at least one of the following - TensorFlow, PyTorch, Caffe.
  • Strong skills in Python, C, C++.
  • Previous experience contributing to open source projects.
  • Ability to work in a team, network with people outside of the team and effectively communicate in written and verbal presentations is essential.
  • Experience implementing or optimizing key Python packages such as NumPy, pandas, SciPy would be an asset.


*Required Professional and Technical Expertise
In this role, we require:

  • 5+ years in Python programming
  • Demonstrated experience implementing neural network or machine-learning algorithms
  • Experience with the internals of least one of TensorFlow or PyTorch (performance optimizations, feature additions, bugfixes etc.)
  • Knowledge of modern microprocessor design
  • Experience using acceleration technologies for data science applications (GPU, FPGA, SIMD, custom ASIC etc.)
  • Passion for continuous improvement in building knowledge base both technically and professionally
  • Minimum BS OR MS degree in Computer Science, Computer Engineering or a related technical discipline or equivalent experience.

*Preferred Professional and Technical Expertise

  • Experience with multiple frameworks
  • Recognized status in a key open source community
  • In-depth knowledge of AIs application in industry

Intermediate Capital Group
  • Leeds, UK

About the role


We are looking for an experienced Python developer/data engineer to join our team in London, to help us start the journey of building our new-generation data pipeline. In this role you will help to define the framework and libraries used and mentor and teach other developers in these technologies. The role is delivery-focused – every step of the way we need to solve real-world problems for our customers. We’re looking for someone who has an interest in learning about our business and developing a deep understanding, and who is always asking the question “why?”, not just “what?” or “how?”.


About you


Approach:


Are you passionate about learning the workings of a business and helping our customers achieve their goals? Do you want to work with others, sharing ideas and celebrating team successes over personal achievement? Do you enjoy leading, guiding and mentoring other developers and taking pride in their achievements?


Skills:


You have demonstrable experience of:



  • SQL, Relational and NoSQL databases

  • Python development, particularly of ETL/ELT and data pipelines using relevant frameworks

  • Fixing and resolving database development problems including performance tuning and optimisation

  • BI and data-warehouse modelling techniques and approaches (e.g. Kimball).

  • Test driven development (TDD)


Ideally you will also have familiarity with some or all of:



  • VBA and Excel development (version 2010 onwards)

  • Continuous Integration and Continuous Delivery Processes, including TeamCity, Octopus Deploy and Redgate

  • Cloud database development (Amazon AWS and/or Azure)

  • Reporting solutions such as Tableau or Power BI

  • Pandas, PySpark, Data Lake, Machine Learning

  • MongoDB

  • SSIS and SSRS development

  • Familiarity with PowerShell scripting

  • Financial Services concepts such as Private Equity, Direct Lending or Credit Fund Management


In addition, you will be able to show:



  • Good verbal and written communication skills, including the ability to talk at both a technical and business level

  • Analytical thinking, open to new ideas and approaches with an enthusiasm to obtain results

  • A logical and detailed approach to technical planning

  • A dedicated, enthusiastic, can-do attitude and a talent for identifying problems before they become serious

  • A positive approach to being challenged

Intermediate Capital Group
  • London, UK

About the role


We are looking for an experienced Python developer/data engineer to join our team in London, to help us start the journey of building our new-generation data pipeline. In this role you will help to define the framework and libraries used and mentor and teach other developers in these technologies. The role is delivery-focused – every step of the way we need to solve real-world problems for our customers. We’re looking for someone who has an interest in learning about our business and developing a deep understanding, and who is always asking the question “why?”, not just “what?” or “how?”.


About you


Approach:


Are you passionate about learning the workings of a business and helping our customers achieve their goals? Do you want to work with others, sharing ideas and celebrating team successes over personal achievement? Do you enjoy leading, guiding and mentoring other developers and taking pride in their achievements?


Skills:


You have demonstrable experience of:



  • SQL, Relational and NoSQL databases

  • Python development, particularly of ETL/ELT and data pipelines using relevant frameworks

  • Fixing and resolving database development problems including performance tuning and optimisation

  • BI and data-warehouse modelling techniques and approaches (e.g. Kimball).

  • Test driven development (TDD)


Ideally you will also have familiarity with some or all of:



  • VBA and Excel development (version 2010 onwards)

  • Continuous Integration and Continuous Delivery Processes, including TeamCity, Octopus Deploy and Redgate

  • Cloud database development (Amazon AWS and/or Azure)

  • Reporting solutions such as Tableau or Power BI

  • Pandas, PySpark, Data Lake, Machine Learning

  • MongoDB

  • SSIS and SSRS development

  • Familiarity with PowerShell scripting

  • Financial Services concepts such as Private Equity, Direct Lending or Credit Fund Management


In addition, you will be able to show:



  • Good verbal and written communication skills, including the ability to talk at both a technical and business level

  • Analytical thinking, open to new ideas and approaches with an enthusiasm to obtain results

  • A logical and detailed approach to technical planning

  • A dedicated, enthusiastic, can-do attitude and a talent for identifying problems before they become serious

  • A positive approach to being challenged

Label Insight
  • Chicago, IL

Label Insight’s core business model is extracting meaning from product packaging. This involves the processing of both semi-structured data such as Nutritional Fact Panels, Ingredient lists to unstructured natural language such as marketing claims, product descriptions and preparation instructions with a strong focus on text classification.


Responsibilities:




  • Assist with improving existing models that include, Image Classification, Optical Character Recognition (OCR), Natural Language Understanding (NLU)




  • Help in the definition and tuning of developed models in real-world production data processing pipeline




  • Work with engineering teams to ensure maximum business value from data science initiatives




  • Interact cross-functionally with a wide variety of people and teams




  • Perform data analysis on large, complex data sets




  • Provide guidance on data visualization on large, complex data sets




  • Use the latest technologies to solve business-critical problems




Requirements:




  • Knowledge with at least one statistical software (e.g., R, Python, Julia, MATLAB, pandas) and database languages (e.g., SQL).




  • Demonstrated skills in selecting the right statistical tools given a data analysis problem.




  • Demonstrated knowledge in one or more of the following Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence).




  • Exposure to one or more of the latest industry technologies and processes (AWS, S3, SQL, Jupyter, SageMaker, Event Driven Systems, Version Control)  




At the end of this internship you will be able to:




  • Gain experience working in a unique startup company environment with an emphasis on collaboration.




  • Work on production systems applying the latest approaches in both Data Science and Data Engineering to solve real-world data problems




  • Gain experience with tools, processes, and frameworks used to support a technology business built on large, complex data sets




  • Gain an in-depth knowledge of Customer Package Goods domain with a focus on nutritional science




Our Values:



  • Transparency: We share information freely and concisely as a team

  • Collaboration: We respect diversity and work toward the solution together

  • Iteration and Innovation: We speak up early, are honest about our limits, and leverage failure as an asset

  • Intellectual Honesty and Humility: We encourage open debate and favor the best ideas

  • Accountability: We own the successes and failures of our team

  • Quality Driven: We hold our work to the highest standards and embrace problems as opportunities


Does this sound like you? We'd love to talk to you!


 Label Insight is an equal opportunity employer