Staff Applied Scientist, Financial Forecasting

Vercel
San Francisco, New York
Workplace: HybridFull timeUSD 250,000 - 330,000 annuallyFunction: Research & Scientific (R&D)Experience: 8+ yearsSkills: ["Technical leadership","Mentoring","Problem-solving","Communication","Autonomous execution"]

Lead consumption forecasting at Vercel by architecting end-to-end ML systems that power financial planning, investment decisions, and executive reporting. Build and productionize advanced time-series forecasting models (deep learning, probabilistic/Bayesian, and hierarchical architectures), along with forecasting infrastructure for backtesting, monitoring, drift detection, and explainability. Partner with Finance and Infrastructure to evaluate pricing, packaging, and product launches, and set ML standards across the Data organization.

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Vercel
Vercel
1 day ago

Staff Applied Scientist, Financial Forecasting

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Job Summary

Lead consumption forecasting at Vercel by architecting end-to-end ML systems that power financial planning, investment decisions, and executive reporting. Build and productionize advanced time-series forecasting models (deep learning, probabilistic/Bayesian, and hierarchical architectures), along with forecasting infrastructure for backtesting, monitoring, drift detection, and explainability. Partner with Finance and Infrastructure to evaluate pricing, packaging, and product launches, and set ML standards across the Data organization.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Architect and own end-to-end consumption forecasting ML systems across compute, bandwidth, edge functions, and storage.
  • •Design and productionize advanced time-series forecasting approaches, extending beyond standard forecasting libraries when needed.
  • •Develop multi-horizon forecasting systems with hierarchical architectures to reconcile predictions across account, cohort, segment, and global aggregates.
  • •Build ML infrastructure and tooling for backtesting, monitoring, drift detection, and forecast explainability.
  • •Partner with Finance and Infrastructure to support planning cycles and capacity/cost optimization, and model adoption and expansion dynamics with causal and predictive techniques.

Pay and Benefits

Salary: USD 250,000 - 330,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceEquityHome Office

Key Requirements

  • •8+ years of experience in machine learning, data science, or applied statistics, operating at a staff or principal level.
  • •Deep, hands-on expertise in advanced time-series forecasting and ML modeling techniques, including deep learning forecasting and Bayesian/probabilistic methods.
  • •Proven experience architecting and productionizing ML systems at scale, including infrastructure for training, serving, monitoring, and retraining.
  • •Strong Python and SQL proficiency with experience on large-scale usage and billing datasets, plus grounding in causal inference and experimentation design.
  • •Experience setting technical direction and mentoring senior ICs, translating ML concepts into decision-ready insights for non-technical stakeholders.
Experience:8+ years
Skills:Technical leadershipMentoringProblem-solvingCommunicationAutonomous execution
Languages:English
Tech Stack:PythonSQLSnowflakeDelta LakeDbtAirflowFeature storesMLOpsTime-series forecastingDeep learningBayesian/probabilistic modelingHierarchical reconciliationCausal inferenceExperimentation

Company Brief

Vercel
Provides a frontend cloud platform and developer tools (including Next.js and v0) that simplify building, deploying, and scaling web and AI-native applications for developers and enterprises.
Industry: Cloud Computing
Company Size: Large (251 to 1,000 employees)
Revenue: USD 100M to 250M
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series F
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.1
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