Senior Data Scientist, Member Insights - SoFi
View Company Profile- Job Title
- Senior Data Scientist, Member Insights
- Job Location
- CA - San Francisco; WA - Seattle
- Job Listing URL
- https://sofi.com/careers/job/6210237003?gh_jid=6210237003
- 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 BenefitsThe 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 EmployeesIf 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 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 detailsPost 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