Manager, Data Science

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Who we are:

Shape a brighter financial future with us.

Together with our members, we’re changing the way people think about and interact with personal finance.

We’re a next-generation fintech company using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world.

The role

We are seeking a Manager, Data Science to join our Lending Business Insights and Data Science team. This leader will partner closely with SoFi’s Product and Engineering teams
to optimize our application funnels through experimentation, understand product usage across member segments, and enable data driven strategic decision making.  The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. We pride ourselves on a philosophy of continuous learning, and you should likewise be committed to furthering growth and providing mentorship for your team members.  

What You'll Do:
Build and lead a great data science team to deliver the best consumer financial products on the market
Apply your expertise in quantitative analysis, data science, and the presentation of data to see beyond the numbers and understand how our users interact with our products or SoFi Platforms
Partner with Business, Product, Engineering, and Finance teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Manage the development of data marts, gather requirements, organize sources, and support product launches while keeping the team accountable and impactful

What you’ll need:

Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
2+ years of experience in managing other team members in a formal capacity
8+ years of experience doing quantitative analysis at a technology company, consulting, investment banking, or product management including experience with SQL or other programming languages
5+ years of experience with applied statistics or experimentation (i.e. A/B testing) in an industry setting
Experience initiating and drive projects to completion with minimal guidance
Experience communicating and representing results of analysis to senior leadership
Understanding of statistical analysis, experience with packages, such as Python, R
Experience with cloud-based platforms, such as AWS, Snowflake
Experience with building data visualizations with Tableau, Looker or other BI tools
 

Why you’ll love working here:

• Competitive salary packages and bonuses
• Comprehensive medical, dental, vision and life insurance benefits
• Generous vacation and holidays
• Paid parental leave for eligible employees
• 401(k) and education on retirement planning
• Tuition reimbursement on approved programs
• Monthly contribution up to $200 to help you pay off your student loans
• Great health & well-being benefits including: telehealth parental support, subsidized gym program

*These benefits are only applicable to full time employees Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location.    To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified