Machine Learning Scientist (Context Relevant)

The Role At Context Relevant (CR), Machine Learning Scientists develop our core data science platform, building a product that robustly delivers the value of machine learning to customers who have urgent schedules and little ML background. We solve our customers’ most valuable problems by automating the challenges of model learning and deployment.

What You’ll Do

Machine learning expert: Our solution will be tackling multiple problem spaces across numerous industries, and you will work with large datasets and complex algorithms to solve multiple data science challenges.

Statistician: You will leverage your education and experience in advanced mathematics and statistics daily. Hands-on software developer: You will code massively scalable products and solutions in C++ and Python. Big data munger: You know how to work with very large amounts of data. This isn’t your mom’s SQL database. Distributed compute maven: Leverage Spark, Hadoop and other map reduce tools and libraries such as numpy, scipy, and pandas to create highly accurate insights and value from customer data sets.

Presenter & consultant: You will visualize your findings and insights and present directly to clients and stakeholders. What You’ve Done You’ve earned a Ph.D. degree in Computer Science, or related field, ideally with a focus on machine learning. Coding experience: You have 5+ years commercial, hands-on experience programming in C or C++.  Additionally, you feel at home in Python.

Modeling: You’ve shown a consistent track record of delivering models that answer difficult questions. Design and execution: You are comfortable with a wide set of machine learning approaches and designing the features and data processing to actually make them work. Problem solving: You’ve solved problems where a billion examples were the small data set.

Distributed computing: You’ve learned how to get the most out of distributed systems such as Hadoop or Spark In addition to knowing how to code performant algorithms, you’ve had to use source-code repositories and have worked with a QA team in your software development.

We’d Love to See Customer-centric: Background with a history of successful customer implementations. Proven ability to work on multiple complex and competing business objectives in a fluid and dynamic environment. Have automated and productized previously manual data science workflows to commercial software quality standards. Rapid delivery of business value in complex engagements with Fortune 500-class customers. Other Stuff Citizenship: U.S. Citizen or permanent resident.

Travel: You are willing to travel up to 10% of the time.

Equal Opportunity: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Benefits Competitive base salary and generous equity. Annual Choose Your Own Benefit (CYOB) lump sum to allocate as you see fit, 401k, FSA etc., (Subject to pro-rated terms). Full medical/dental/vision package. CR covers 90% of employee premiums and 75% of dependent premiums. Flexible vacation policy and nine paid holidays. Perks High impact work; help shape the strategic direction of the company. Accelerated career growth and opportunity. Sharp, motivated co-workers in a flexible office environment. Fully stocked kitchen and lunches are provided regularly throughout the week.


Job posted 1/19/2017