Staff Forecasting Data Scientist
New
Remote-first work environment within the United StatesFull-TimeStaff
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of experience in data science or applied statistics, with at least 3+ years focused on forecasting, time-series modeling, or demand/revenue prediction
- Required Skills
- PythonSQLMachine LearningNumpyPandasscikit-learn
Requirements
- 8+ years of experience in data science or applied statistics
- 3+ years focused on forecasting, time-series modeling, or demand/revenue prediction
- Strong Python expertise (pandas, numpy, scikit-learn, statsmodels, Prophet or similar)
- Advanced SQL skills
- Proven experience building, deploying, and maintaining production machine learning or statistical forecasting systems
- Strong understanding of forecasting methodologies such as time-series models, hierarchical forecasting, and regression-based approaches
- Experience working with messy, real-world datasets across CRM, product, financial, and marketing systems
- Ability to translate ambiguous business problems into structured analytical and statistical solutions
- Strong communication skills with experience influencing cross-functional stakeholders
- Experience building monitoring frameworks for model performance, including drift detection and backtesting
Responsibilities
- Design, build, and automate a scalable enrollment forecasting engine for the business, replacing manual processes with robust, production-ready systems.
- Translate commercial and operational planning questions into statistical and machine learning forecasting models that support decision-making across teams.
- Establish best practices for model development, backtesting, monitoring, alerting, and ongoing performance evaluation of forecasting systems.
- Improve forecast accuracy over time by iterating on features, data sources, and modeling approaches, and incorporating real-world feedback loops.
- Partner closely with Finance, Commercial Operations, Sales, and Marketing to ensure forecasting outputs align with business reality and strategic needs.
- Lead technical ownership of forecasting systems within the data organization, including architecture, coding standards, and deployment practices.
- Mentor and guide other data scientists contributing to forecasting initiatives and help elevate overall team capabilities.
- Develop scalable data pipelines and frameworks that support repeatable, reliable forecasting across multiple business segments.
View Full Description & ApplyYou'll be redirected to the employer's site
