We are looking for Senior Data Scientist - Remote / Telecommute for our client in San Francisco CA
Job Title: Senior Data Scientist - Remote / Telecommute
Job Location: San Francisco CA
Job Type: Contract
Pay Range: $98 - $103
Job Overview:
The Finance Data Science & Strategy team builds the forecasting models that the Treasury and Finance organizations rely on to make funding and planning decisions. This is a contract role for a senior data scientist who can own forecasting work end to end and operate as a trusted partner to Treasury.
Requirement/Must Have:
- 5+ years of industry experience in a forecasting or quantitative analysis role with a Master s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
- Strong hands-on expertise in SQL and at least one programming language (Python or R).
- Proven experience building and maintaining production time series or statistical forecasting models, including handling structural breaks, interventions, and external shocks.
- Experience integrating covariates and external signals into forecasts and validating their contribution.
- Experience owning data pipelines end to end, including scheduling, orchestration, and reporting layers.
- Strong analytical judgment, with the ability to balance rigor against the speed a recurring production cadence demands.
- Demonstrated ability to operate independently, manage multiple workstreams, and deliver against a fixed calendar.
- Strong stakeholder communication skills, with a track record of translating model behavior into decisions non-technical partners can act on.
Responsibilities:
- Build and maintain a portfolio of statistical forecasting models segmented by account characteristics to support Treasury's funding schedule.
- Improve forecast accuracy across cash flow directions, prioritizing the areas where funding decisions are most sensitive.
- Bring financial planning signals such as cancellations, revenue, and seasonality into the models as covariates, and account for the effect of macro shocks and product changes on user behavior.
- Preserve forecast accuracy when Treasury reallocates volume across accounts.
- Run diagnostics after each production cycle to explain what drove a miss, where the forecast fell short, and what fixes are planned.
- Support the analysis behind manual adjustments to the forecasts.
- Serve as the embedded data science partner for Treasury, translating model behavior into terms partners can act on and staying engaged on funding decisions week to week.
- Monitor the data workflow for missing or mismatched records, and maintain the pipelines that populate the forecasting tables and reporting dashboards.
Nice to Have:
- Experience with finance, treasury, or marketplace data strongly preferred.
- Familiarity with AI-assisted analytics workflows is a plus.