DATA SCIENCE
AI Forecasting Analyst
Modernise enterprise forecasting with foundation models and ML: demand, workforce and financial planning systems that beat the spreadsheet they replace and explain themselves to the planners who use them.
- New York
- Data Science
- Full-time
What you’ll do
- Build and backtest forecasting models on client demand, capacity and financial data
- Benchmark time-series foundation models against tuned classical baselines honestly
- Use LLMs to fold unstructured signals — notes, news, tickets — into forecasts where it helps
- Deploy forecasts into client planning tools with monitoring and retrain schedules
- Present accuracy and value tracking to client stakeholders each cycle
What we’re looking for
- Bachelor's or Master's degree in Statistics, Economics, or related field
- Strong time-series skills — classical methods plus ML approaches (gradient boosting, N-BEATS, TimesFM-class foundation models)
- Python or R fluency and solid SQL
- Experience communicating forecast uncertainty to planning and finance teams
- Understanding of how forecasts wire into S&OP and budgeting processes
What we offer
- Competitive compensation package
- Comprehensive health benefits
- Retirement savings plan
- Professional development opportunities
- Flexible work arrangements