Data Scientist - Growth

Company: Credit Karma, Inc
Location: San Francisco , California, United States
Type: Full-time
Posted: 12.JUL.2018


Credit Karma is working to make financial progress possible for everyone. Data and analytics play a pivotal role in this mission and every p...


Credit Karma is working to make financial progress possible for everyone. Data and analytics play a pivotal role in this mission and every part of our business informing new product design, driving marketing efficiency, and powering the recommendations we personalize to each of our 75 million members. We are looking for a Data Scientist to join the band and help drive a data-first culture with a focus on growth. As a Data Scientist, our mission is to turn our unique, rich and rapidly growing data into insights and gain a deep understanding of our user behavior and impact the strategy and direction of Credit Karma. You will study user behavior, strategic initiatives, markets, content, and new features and bring data and insights into every decision we make in the team. Above all, your work will impact how we think about user growth and how we can make Credit Karma available and make financial progress accessible for more people in the world.
What you ll do:

    • Perform analyses on large sets of data to extract actionable insights that will help drive decisions across the user funnel such as acquisition, activation and retention
    • Design and analyze rigorous experiments, and produce well-structured, lucid summaries to communicate your findings effectively and allow the business to act with confidence
    • Work on exploratory user understanding projects to understand and recommend our next direction to drive user engagement
    • Challenge assumptions and proactively identify opportunities and levers to add value to the business
    • Work on end-to-end projects to ensure your findings are executed and tested in the desired way
    • Build advanced predictive models to forecast the impact of specific growth initiatives and goals
    • Build frameworks to define and build key data sets to empower operational and exploratory analysis
    • Work closely with cross-functional teams of analysts, researchers, product owners, marketers, designers, and others across the company who are passionate about our user s financial progress
Who you are:
    • You have a deep understanding of numbers and a strong business sense for growth drivers
    • A structured, analytical thinker, attentive to detail but able to see the bigger picture
    • You have at least 3+ years of experience in a similar data scientist role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative discipline
    • You have the technical competence to perform more advanced analytics
    • Coding skills (such as Python)
    • Analytics tools experience (such as Pandas, R, or SQL)
    • You have experience collaborating closely with research to design novel scientific data-centric approaches in response to loosely defined problems
    • You have experience driving real-world product or feature decisions based on your analysis
    • Experience with advanced modeling techniques, such as collaborative filtering, time series analysis, and learning techniques such as boosting and random forests
    • You are a communicative team player that values building strong relationships with colleagues and stakeholders and have the ability to explain complex topics in simple terms
    • You re a self-starter, able to learn quickly, adapt to changing requirements, creative problem solver, and capable of mentoring more junior team members to set them up for success
Cover Letter:Include a section in your cover letter that demonstrates a level of interest or experience in one or more of the following areas: Startup Mindset: Hacking together Proof of Concept solutions, quick enough to prove the value. If you can speak to your drive and initiative, you're a good match Technology: AI, VR, cryptocurrency and beyond. If you nerd out on and have a deep passion for emerging tech, you'll fit right in Hustle: You possess an intense curiosity and are interested in learning about parts of the company beyond your scope

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