Marketing Data Scientist, Optimization

Overview

Shape a brighter financial future with SoFi, a next‑generation financial services company and national bank using innovative, mobile‑first technology to help millions of members reach their goals.

We seek a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team enables data‑driven decisions across SoFi’s Marketing organization through robust analytics, modeling, experimentation, and measurement.

• Own and maintain recurring dashboards and analytical deliverables that support media performance monitoring and broader marketing spend diagnostics across channels.
• Partner with Media, Brand Marketing, and Product Marketing to support day‑to‑day analytics, deep dives, and planning‑related questions.
• Support quarterly and annual marketing forecasts using SoFi’s in‑house Marketing Mix Modeling (MMM) and related forecasting frameworks.
• Run MMM pipelines and refreshes, including data preparation, quality checks, model execution, and output validation.
• Assist in interpreting MMM outputs and translating results into insights that inform media and marketing investment decisions.
• Support media allocation and optimization analyses (e.g., TV vs. Digital, upper‑ vs. lower‑funnel tradeoffs), including scenario modeling and sensitivity analysis.
• Contribute to holistic marketing budget optimization and scenario planning across brand, sponsor ships, product, and performance marketing investments.
• Support cross‑channel budget tradeoff analyses to evaluate the impact of spend shifts across media types and marketing initiatives.
• Contribute to ongoing improvement of MMM models and forecasting tools, including feature development, testing, automation, and documentation.
• Collaborate closely with senior data scientists to improve forecast accuracy, model robustness, and the usability of optimization outputs for stakeholders.
• Maintain clear documentation of models, assumptions, and analytical workflows to support long‑term maintainability.

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related quantitative field.
• 2–4 years of experience in data science, analytics, or applied modeling roles supporting marketing, media, growth, or product analytics.
• Strong proficiency in SQL and Python, with experience building analytical workflows and working with large, structured datasets.
• Experience with forecasting, causal modeling, or Marketing Mix Modeling (MMM), including running model pipelines and supporting model interpretation.
• Familiarity with marketing performance measurement across a broad range of channels, including upper‑ and lower‑funnel investments.
• Experience building and maintaining dashboards or recurring analytical deliverables using BI tools (e.g., Tableau or equivalent).
• Comfort working in a production analytics environment, including data validation, model QA, and ongoing maintenance.
• Ability to translate analytical results into clear insights for non‑technical stakeholders, with support from senior team members.
• Strong attention to detail, structured problem‑solving skills, and comfort working with ambiguous planning questions.
• Collaborative mindset and ability to work effectively with cross‑functional partners across Marketing.
• Curiosity and motivation to grow toward greater ownership of forecasting, optimization, and stakeholder‑facing work over time.

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 So Fi 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,…