Data Scientist

With over 60 million members, Credit Karma is working to make financial progress possible for everyone. Since 2007, we have been knocking down barriers that block the path to financial health, helping our members make informed choices and feel confident about their opportunities.

Credit Karma’s fast growing Data Sciences team is seeking an experienced Senior Data Scientist. This role will allow a motivated individual to make a significant impact across the organization by delivering the most relevant content to our users and by helping drive accelerated revenue growth.

Partner with stakeholders across the organization to identify high-impact opportunities to leverage our extensive data to better serve our users. Drive the creation of comprehensive datasets encompassing user profiles and behaviors, and incorporating a wide variety of signals and data types. Assess the potential usefulness and validity of new statistical approaches and data sources. Build complex predictive models to substantially improve and continuously optimize user engagement and revenue generation. Rapidly develop proof-of-concept prototypes to prove out hypotheses. Reach across multiple functions, such as Product Management and Data Engineering, to implement the models into production and to monitor their performance. Motivate and mentor other data scientists to grow their skills and careers.

• Advanced Degree (Ph.D./MS) in Statistics or a related quantitative discipline.
• 3+ years of experience building and implementing complex models in a fast-paced corporate environment, ideally dealing with problems relevant to revenue, product, and/or marketing.
• Experience with advanced modeling techniques, such as collaborative filtering, matrix factorization, time series analysis, and mixed-effect models, and learning techniques such as boosting and random forests.
• Expert knowledge of R, Python, and SQL, or similar industry standard tools used for large-scale data analysis and modeling.
• Experience with Machine Learning and Big Data technologies such as Map/Reduce, Hadoop, Hive, and Spark is a big plus.
• Programming experience in Scala, Java, or C++, and familiarity with UNIX command line and core tools would be very helpful.
• Recent experience with a consumer facing online company and/or prior exposure to consumer financial products is highly desirable.
• Self-motivated, results oriented, enthusiastic, and a creative thinker.