Senior Data Scientist

Job Description

Data Scientist

Strategic People are working with a client that is committed to doing right by their customers and providing a fresh take on old debt. They are on the lookout for a multi-talented, intellectually curious, and process- oriented Data Scientist to support their Data and Finance function.

Details below:

Please note: You must be a US citizen to apply for this role.

Location: Oakland, CA

Duration: Full Time

Salary: Up to $150k + Equity

Your Impact

As a Data Scientist, you will be exposed to all aspects of the business and will leverage data to drive product development. Working cross-functionally across departments, your work will be highly impactful in supporting the funding and risk management of their business and your contributions will directly influence strategy and expansion.

In The Role, You Will

  • Automate complex financial and loan reporting
  • Identify areas for improvement to data quality
  • Conduct exploratory data analysis for promising credit characteristics
  • Lead in the development of a machine learning credit model
  • Work with members of all business functions to identify KPIs and automate periodic reporting for those KPIs
  • Construct updating dashboards for business intelligence
  • Own, maintain, and improve data warehousing

Essential Skills & Experience

  • B.A. / B.S. degree in technical/quantitative disciplines or equivalent experience
  • 3-6 years at a start-up with desired experience in a FinTech or graduate school
  • Strong quantitative and programming skills with a product-driven sensibility
  • Fluency in Python and SQL
  • Knowledge of probability theory and statistics, hypothesis testing, and regression analysis
  • Quick learning ability and a drive suitable for the start-up environment.
  • A team player with a solid work ethic who is ready to pivot between projects, learn from mistakes, always move forward, and help build the next big thing in lending!

Desired (yet not essential) Skills and Experience

  • Experience with Pandas and scikit-learn
  • Experience with at least one data visualization library
  • Experience with at least one data visualization library

Why this role?

My client has a simple mission – help people get a fresh start. They aspire to build the best platform solution in the lending space with an emphasis on design and automation.

They are a lean team of motivated individuals that support one another and get the job done. Keeping up with the latest technologies, tools, and tricks of the trade, they're always refining their approach, and everyone has a seat at the table. They take pride in the positive impact they are having on the world, and do great work to move in the right direction.

Benefits are great but we hope that motivations for this role derive from the fact that you believe in their mission and want to play a major part in delivering on it!

  • Competitive compensation
  • Equity in an early stage start-up committed to growing sustainably and reaching profitability
  • Healthcare benefits (medical, dental, and vision insurance plus FSAs and commuter benefits)
  • Fantastic office location
  • Fully stocked snack pantry: Your favorite snack on hand to fuel your best work.
  • Time Away: A flexible time off policy encourages employees to replenish their energy when they need it. They encourage you to take vacation when needed and don't have any rules or forms around how many weeks per year. In addition, they offer 11 paid holidays per year.
  • A huge commitment to inclusion across gender, race, ethnicity, sexual orientation, educational background, religion, ability, socioeconomic background, immigration statuses, and experiences drives us forward every day. They foster an open, tolerant, and constructive work environment with a team consisting of diverse views and backgrounds.


How to apply

If you feel the above is relevant and of interest to you, send your resume to Tom Higginson via 

If you'd like to apply for this position, please fill in the form and a member of our team will contact you shortly or call us directly on

0161 960 0116 (424) 317-5655 +31 20 422 2981
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