Forecasting Data Scientist: Drive Demand & Capacity

Lyrahealth; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Lyra Health is seeking a forecasting data scientist to design predictive models that forecast member demand and provider capacity, partnering with Finance, Operations, Sales & Marketing, and Customer Success.

You will develop analytical frameworks, translate insights into business recommendations, and collaborate to scale forecasting processes during growth. Proficiency in Python, SQL, and dashboards is essential.

Qualifications

• 5+ years of data analysis in an industry setting with experience in business forecasting and time series.
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).
• Graduate-level Statistics coursework with MS in a quantitative field preferred.
• Experience translating stakeholder requests into data research questions and analyses.
• Strong SQL proficiency with complex queries and views.
• Proficiency with Tableau or similar dashboarding tools.

Responsibilities

• Design, build, and maintain predictive models to forecast member demand, care utilization, and provider network capacity.
• Develop analytical frameworks and translate data insights into actionable business recommendations.
• Collaborate with teammates to improve and scale forecasting processes alongside company growth.
• Develop expertise in the data we collect and partner with data engineers to construct robust data pipelines and ingest relevant data sources.
• Complete time-sensitive ad-hoc data requests for internal leadership and external stakeholders.

Skills

Python

SQL

Tableau

Statistics

Time series

Data modeling

Dashboarding

Communication

Cross-functional

Education

MS in Statistics

Tools

Pandas

APIs

JSON

SQL Views

Job description

Lyra Health is seeking a forecasting data scientist to design predictive models that forecast member demand and provider capacity, partnering with Finance, Operations, Sales & Marketing, and Customer Success.

You will develop analytical frameworks, translate insights into business recommendations, and collaborate to scale forecasting processes during growth. Proficiency in Python, SQL, and dashboards is essential.