Senior Data Scientist, Invest

WA - Seattle; CA - San Francisco HQ

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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 Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights.  This is an exciting role for someone to make a direct impact on new product strategy and revenue of SoFi.   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 – you are there at each step of the way and you know that we only succeed if we succeed together. 

What you’ll do:

  • Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions. 
  • Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, invest features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics. 
  • Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports. 
  • Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams. 
  • Build self-service systems to enable others in the organization to leverage your work. 
  • Analyze and perform statistical analysis on data that underlies Invest’s product experiments.
  • 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
  • You stay focused on what’s best for the company – sometimes that requires being flexible, other times it requires being steadfast. 

What you’ll need:

  • Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 
  • 3+ years of relevant work experience 
  • Intellectual curiosity and aptitude to pick up new technical skills 
  • Exceptional problem-solving skills
  • Ability to initiate and drive projects to completion with minimal guidance 
  • High EQ with ability to influence outcomes and communicate technical content to general audiences 
  • Strong programming skills in SQL, Python and proficiency in Tableau
  • Experience with experimentation and hypothesis testing
  • Ability to work in a dynamic, cross-functional environment, with strong attention to detail
  • Strong relationship building and collaborative skills

Nice to have:

  • Experience with investment products
  • Experience in a financial organization
  • Experience with using Airflow to build Data Pipelines in Snowflake

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 applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to embracing diversity. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Computer Science Data pipelines Engineering Finance FinTech KPIs Machine Learning Mathematics Physics Pipelines Privacy Python R Snowflake SQL Statistics Tableau Testing

Perks/benefits: Career development Competitive pay Flex hours Flex vacation Health care Insurance Medical leave Parental leave

Region: North America
Country: United States
Job stats:  12  4  0
Category: Data Science Jobs

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