Sr. Data Scientist - Forecasting
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.
Core Responsibilities:
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.
Desired Skill Sets/Experience:
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