Staff Data Scientist
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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 2+ million 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
The Lending Business Insights team is seeking a Staff Data Scientist who will help shape business strategy and product development outcomes through data-driven insights. This is an exciting role for someone to take a Leadership role in shaping Product and Marketing strategy for our Personal Loans and Student Loan Refinance businesses. Success in this role hinges on your technical aptitude, quantitative abilities, and business acumen: you know how to plow through data with SQL/Python/R/Tableau, surface insights using math/statistics/ML techniques, and measure the business impact using efficiency/conversion/profit metrics. You treat stakeholders as a partnership and are able to set an example to help others grow.
What you’ll do:
- Develop and test data-driven strategies that optimize core product outcomes such as funnel conversion, product experimentation, prospect targeting, and web page optimization
- Build models to help decision makers understand customer behaviors and segmentation
- Run significance tests and continuously discover trends in customer behavior to inform decision making with a high level of confidence
- Build reporting pipelines and dashboards to deliver results of credit card strategies to the business
- Present research to business leaders in the Lending organization
- Manage and mentor junior members of the team
What you’ll need:
- M.B.A, B.S. or M.S. in Statistics, Economics, Engineering, Computer Science, Mathematics or a related quantitative field is required for this position;
- Proven track record of end-to-end experience in building analytical frameworks to inform business strategy;
- 8+ years of experience working in an analytics role in Finance or Tech
- Solid programming skills in SQL, Python and proficiency in Tableau
- Experience with using Airflow to build Data Pipelines
- Ability to work in a dynamic, cross-functional environment, with a solid attention to detail;
- Effective communication and presentation skills and ability to explain complex research in simple terms to business leaders;
- Solid relationship building and collaborative skills;
- Exceptional problem-solving skills;
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
- Employer paid lunch program (except for remote employees)
- Fully stocked kitchen (snacks and drinks)
*These benefits are only applicable to full time employeesSoFi 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 applicants with arrest and conviction records.