Data Scientist - Growth

Salary depends on experience
Posted on 06/21/18
San Francisco, CA
Less than 5 years experience
Accounting, Finance & Insurance
Salary depends on experience
Posted on 06/21/18

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
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