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Manager, Data Science

SoFiCA - San Francisco; NY - New York CityPosted Jul 30, 2026
Data Science ManagerSenior
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Mirrored from SoFi's own Greenhouse careers system · refreshed hourly

60
Other open SoFi roles
Jul 30
Posted
Greenhouse
Applicant system
Job descriptionReq 7820959003

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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 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

The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi’s ability to execute with data.  This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact.

You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach.  You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards.

You are expected to work cross-functionally, including: 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.

 What you’ll do:

  • Manage a team of Data Scientists supporting SoFi’s Checking and Savings, Invest, Credit Card, Protect, and Lantern businesses

  • Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives

  • Set high standards for quality and on-time delivery.

  • Recruit, grow, and retain top talent

  • Ensure that the team is operating in an agile and efficient manner

  • Stay up-to-date on the latest AI/ML technologies

  • Identify high impact business opportunities to help members achieve their financial goals

  • Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation.

  • Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders

  • Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions

 

What you’ll need:

  • Bachelor’s Degree in a technical field

  • 7+ years of Data Science or Software Engineering experience

  • 3+ years management experience

  • Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company

  • Experience with using Airflow and DBT to build Data Pipelines in Snowflake

  • Strong programming skills in SQL and Python

  • Experience with building data visualizations with Tableau, Looker or other BI tools

  • Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics.

  • Ability to work in a dynamic, cross-functional environment, with a strong attention to detail;

  • Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders;

  • Strong relationship building and collaborative skills;

  • Exceptional problem-solving 

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 an inclusive culture. 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.
We are unable to accommodate remote work from Hawaii, Alaska or Puerto Rico 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.
View original posting on Greenhouse

What applying to SoFi usually looks like

Based on publicly available information, candidates applying through greenhouse for roles at SoFi can typically expect an online application followed by an initial recruiter screening. The process may include multiple stages such as a hiring manager conversation, a skills or technical assessment relevant to the role (especially for engineering, data, or analytical positions), and one or more interviews with team members or cross-functional stakeholders. Some roles, particularly those in compliance, security, or leadership, may involve additional evaluative steps or panel discussions. Communication is generally managed through the greenhouse platform, and applicants can commonly expect status updates or requests for availability through that system. Response times vary depending on the role and volume of applicants, so candidates should follow up politely if they have not heard back within a reasonable timeframe. Preparing to discuss relevant experience clearly is generally advisable.

Based on publicly available information. LandEarly does not verify interview process details.

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Manager, Data Science
SoFi · CA - San Francisco; NY - New York City
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