Marketing Data Scientist
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Job Summary
The role:
SoFi is seeking a highly motivated Data Scientist to join the Marketing Data Science (MDS) team. The MDS team plays a crucial role in enabling data-driven decisions across SoFis Marketing organization through robust analytics modeling experimentation and measurement.
This exciting new role will be part of the Optimization hub and will support both TV/DV media-specific optimization and broader marketing budget planning with roughly half of the work focused on media analytics forecasting and optimization and the other half focused on holistic marketing budget forecasting and scenario planning across brand sponsorships product marketing and all marketing channels (TV DV DM social display etc.).
The role is execution-focused with ownership of recurring analytical deliverables and workflows. The IC2 will work closely with senior data scientists and marketing stakeholders with a clear growth path toward independently owning forecasting optimization analyses and stakeholder partnerships over time.
What youll do:
- 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 SoFis 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 sponsorships 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.
What youll need:
- Bachelors degree in Computer Science Statistics Mathematics Economics Engineering or a related quantitative field.
- 24 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.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Why do 10M+ members trust SoFi? Financial solutions for school, marriage, starting a family, home buying, retirement, or whatever’s next. Member FDIC.
