Senior Data Scientist, Credit Card at SoFi

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Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Stakeholder Collaboration, Market Research, KPI Tracking, Customer-Centric Focus, Leadership, Continuous Improvement, SQL, Python, Tableau, Problem-Solving, Communication, Relationship Building, Attention to Detail, Dynamic Environment, Business Strategy

Industry

Financial Services

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 are seeking a Senior Data Scientist to join our Pricing team in the Lending Organization. This is an exciting role for someone looking to make a direct impact on the revenue and profitability of SoFi’s lending businesses. As a Senior Data Scientist in our pricing team, you will be responsible for working with cross-functional teams and leaders to develop, launch, and scale pricing initiatives that meet the needs of our customers and the business. You will combine a strong understanding of business strategy, market dynamics, and product development with advanced data analysis to drive performance, optimize pricing structures, and maximize customer and business impact. You will work closely with stakeholders across Engineering, Marketing, Finance, Risk, and Leadership to deliver strategies that enhance both customer value and portfolio performance. What you’ll do: Data-Driven Decision Making: Utilize advanced analytics to monitor performance, identify pricing optimization opportunities, and make data-backed decisions that improve profitability and user experience. Stakeholder Collaboration: Work closely with cross-functional teams - including Risk, Business, Finance, Marketing, Engineering and Product - to ensure successful design, testing, and implementation of pricing initiatives from concept to launch. Market Research & Insights: Conduct competitive benchmarking and market research to assess credit card pricing trends, promotional offers, and customer preferences to inform product positioning. KPIs & Metrics: Define and track key performance indicators (KPIs) and metrics to measure product success, and drive improvements based on these insights. Customer-Centric Focus: Ensure that products meet customer expectations and are positioned to deliver maximum value and satisfaction. Leadership: Lead pricing and product development initiatives, mentor team members, and communicate effectively with senior leadership to drive business outcomes. Continuous Improvement: Analyze product feedback, usage data, and performance metrics to drive continuous product iterations and improvements. What you’ll need: B.S. or M.S. in Computer Science, Statistics, Operations Research, Engineering, Mathematics or a related quantitative field is required for this position. M.B.A preferred, not required. 5+ years of industrial experience working in an analytics, business strategy, pricing, or related role Strong programming skills in SQL, Python and proficiency in Tableau Ability to work in a dynamic, cross-functional environment, with strong attention to detail Effective communication skills and ability to explain complex concepts in simple terms Strong relationship building and collaborative skills Excels in a fast moving environment with outstanding stakeholder management abilities Exceptional problem-solving skills 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. 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.

Responsibilities

As a Senior Data Scientist, you will develop, launch, and scale pricing initiatives that enhance customer value and business performance. You will collaborate with cross-functional teams to drive pricing optimization and monitor performance through advanced analytics.