Senior Data Scientist - Remote / Telecommute

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Cynet Systems, is seeking the following. Apply via Dice today! 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.