Forecasting Data Scientist

Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs that work.

We are looking for a business-minded, full-stack Forecasting Data Scientist who cares about impact, ownership, and cross-functional collaboration. In this role, you will work closely with Lyra’s Finance, Operations, Sales & Marketing, and Customer Success teams to build forecasting models that optimize provider network capacity, anticipate care utilization, and inform strategic decisions across our business lines.

• Design, build, and maintain predictive models to forecast member demand, care utilization, and provider network capacity.

• Develop comprehensive 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.

• 5+ years of data analysis in an industry setting with a preference for individuals who have experience in business forecasting, time series data, and have partnered with business / operations teams in prior roles.

• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting.

• Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).

• Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate.

• Experience translating stakeholder requests into data research questions and developing comprehensive analyses using irregular data from disparate sources.

• End-to-end ownership mentality: ability to competently execute all aspects of a data project, from data cleaning to analysis / modeling to dashboarding / reporting

• Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.

• Proficiency with Tableau or similar dashboarding tools.

• Excellent communication skills and experience collaborating across multiple functions

• Ability to thrive in a fast-moving environment and deliver time-sensitive ad-hoc analyses requested by leadership.

• Interest in public health a plus