Staff Forecasting Data Scientist in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Forecasting Data Scientist in United States.

This role is focused on building and scaling a production-grade forecasting engine that drives critical commercial and financial planning decisions in a fast-growing digital health organization. You will lead the transformation of a historically manual forecasting process into an automated, statistically robust system that improves accuracy, speed, and consistency. Working at the intersection of data science, commercial operations, and finance, you will translate complex business questions into scalable time-series and predictive modeling solutions. The environment is highly collaborative and cross-functional, requiring both deep technical expertise and strong business acumen. You will also serve as a technical leader within the data organization, shaping best practices for forecasting systems, model monitoring, and deployment standards. This is a high-impact role where your work directly influences revenue planning, strategic decision-making, and operational efficiency across the business.

• 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.

Requirements:

• 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.
• Strong Python expertise (pandas, numpy, scikit-learn, statsmodels, Prophet or similar) and 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, including Finance and Commercial teams.
• Experience building monitoring frameworks for model performance, including drift detection and backtesting.
• High ownership mindset with ability to operate independently while driving long-term system improvements.
• Experience in healthcare, SaaS, or subscription-based businesses is highly desirable.

Benefits:

• Competitive salary with annual performance-based cash bonus
• Equity grants as part of total compensation package
• Remote-first work environment within the United States
• Flexible time off policy to support rest and work-life balance
• Comprehensive health, dental, and vision insurance with strong employer contributions
• 401(k) retirement savings plan
• Mental health and wellness support programs
• Lifestyle spending account for personal wellbeing expenses
• Generous parental leave policies
• Opportunity to work on high-impact healthcare solutions improving chronic disease management
• Inclusive and mission-driven culture focused on collaboration and continuous improvement