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Senior Data Scientist, Member Insights - SoFi

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Job Title
Senior Data Scientist, Member Insights
Job Location
CA - San Francisco; WA - Seattle
Job Description

Employee Applicant Privacy Notice

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 financial services company and national bank 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're looking for a highly skilled Senior Data Scientist to play a pivotal role in the Member Data Science team, responsible for driving Growth, Engagement, and Retention strategies. The Member Organization is the connective tissue at SoFi, we are dedicated to understanding our members and their behaviors to help them achieve financial independence and reach their goals

 

As a Sr. Data Scientist, you'll use your expertise in data analysis, statistical modeling, and machine learning to uncover insights that will directly influence product strategy and revenue growth. This role demands a strong technical foundation (SQL, Python/R, Tableau, Statistics), a deep understanding of business metrics, A/B testing, causal inference analysis, and exceptional collaboration skills.

 

This role is inherently cross-functional—you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. This is an exciting role for someone to make a direct impact on the company's financial performance and customer experience. 

 

What You'll Do

  • Design and implement data collection and processing pipelines
  • Develop and apply machine learning models to solve business problems
  • Strong experience owning product analytics workflows  including formulating success metrics, socializing them across the organization, and creating dashboards/reports
  • Evaluate and interpret the results of data analysis
  • Communicate findings to technical and non-technical stakeholders
  • Stay up-to-date on the latest data science techniques and technologies
  • Build data pipelines to deploy production level datasets

What You'll Need:

  • Bachelor’s degree required (Masters preferred) in Computer Science, Math, Physics, Engineering or quantitative field. 
  • 4+ years of relevant work experience 
  • Strong programming skills in SQL, Python/R and proficiency in Tableau
  • Experience with using DBT, Airflow to build Data Pipelines in Snowflake
  • Experience with A/B Testing, quasi-experimentation for causal inference and insights
  • Experience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling and predictive modeling concepts.
  • Demonstrate strong business acumen and curiosity with excellent communication and presentation skills with leadership
  • Ability to work independently and as part of a team. You should be able to initiate and drive projects to completion 
  • Exceptional problem-solving skills
  • Influence outcomes and communicate technical content to general audiences 
  • Work independently in a dynamic, cross-functional environment, with strong attention to detail and be a team player.
  • Prepare comprehensive data reports and share insights with stakeholders
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.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
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.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

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SoFi Headquarters Location

San Francisco, CA

View on map

SoFi Company Size

Between 2,000 - 5,000 employees

SoFi Founded Year

2011

SoFi Total Amount Raised

$4,845,067,264

SoFi Funding Rounds

View funding details
  • Post Ipo Debt

    $750,000,000 USD

  • Post Ipo Equity

    $1,200,000,000 USD

  • Series Unknown

    $369,840,376 USD

  • IPO

    $0

  • Series Unknown

    $500,000,000 USD

  • Series F

    $500,000,000 USD

  • Series E

    $1,000,000,000 USD

  • Series D

    $213,027,091 USD

  • Series C

    $80,000,000 USD

  • Debt Financing

    $50,000,000 USD

  • Debt Financing

    $41,000,000 USD

  • Debt Financing

    $60,000,000 USD

  • Series B

    $77,199,900 USD

  • Series A

    $4,000,000 USD