Senior Data Scientist, Member Insights - Growth at SoFi | Torre

Senior Data Scientist, Member Insights - Growth

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Full-time

Legal agreement: Employment

Compensation
USD128k - 240k/year
location_on
Seattle, WA, USA
Shared by
Emma of Torre.ai
5 months ago

Responsibilities


Who we areShape 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.We’re looking for a highly skilled Senior Data Scientist to play a pivotal role on the Member Data Science team, focused on driving and accelerating member growth across a broad set of member growth initiatives.Position at SoFiThis role will be instrumental in establishing measurement frameworks and analytical infrastructure to support growth strategies end to end. Key responsibilities include defining success metrics, building tracking systems, designing experiments, conducting customer segmentation and price elasticity analyses, and optimizing member acquisition economics with propensity models.As a Sr. Data Scientist on the Member Growth pillar, you will be responsible for defining and owning core growth KPIs, building and maintaining reliable dashboards and reporting to track performance, and establishing clear success metrics across the growth funnel.You will conduct deep-dive analyses such as customer segmentation, funnel analysis, A/B testing, and elasticity or trade-off evaluations to identify levers that optimize conversion, and become an SME in our member referral program.You will develop models (e.g., propensity or uplift models) to inform targeting, prioritization, and investment decisions across growth initiatives. This role requires strong technical skills (SQL, Python/R, Tableau, Statistics), deep expertise in metrics, segmentation, experimentation, and strong collaboration.This role is inherently cross-functional, you will work closely with engineering, product managers, lifecycle marketing, data science, design, operations, finance, and executive teams to set growth objectives, define referral program strategy, prioritize features, provide insights, and execute on them.ResponsibilitiesDesign and implement data collection and processing pipelinesDevelop and apply machine learning models to solve business problemsStrong experience owning product analytics workflows including formulating success metrics, socializing them across the organization, and creating dashboards/reportsEvaluate and interpret the results of data analysisCommunicate findings to influence technical and non-technical stakeholdersStay up-to-date on the latest data science techniques and technologiesBuild data pipelines to deploy production level datasetsQualificationsBachelor’s degree required (Master’s preferred) in Computer Science, Math, Physics, Engineering or quantitative field.4+ years of relevant work experienceStrong programming skills in SQL, Python/R and proficiency in TableauProven experience creating dashboards and reports that drive business decisionsExperience with using DBT, Airflow to build Data Pipelines in SnowflakeExperience with experimental design/interpretation, A/B testing, quasi-experimentation for causal inferenceExperience with data mining, descriptive analytics, defining KPIs, machine learning, statistical modeling, and predictive modeling concepts.Experience with funnel analysis, cohort analysis, and segmentationDemonstrate strong business acumen and curiosity, with excellent communication and presentation skills, including the ability to present to leadership.Ability to work independently and as part of a team. You should be able to initiate and drive projects to completionExceptional problem-solving skillsInfluence outcomes and communicate technical content to general audiencesWork independently in a dynamic, cross-functional environment, with strong attention to detail and the ability to be a team player.Prepare comprehensive data reports and make insights easy to understand.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.Pay range: $128,000.00 - $240,000.00 (Payment frequency: Annual). This role is also eligible for a bonus, long term incentives and competitive benefits.To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page.Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.