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
Skills Required
- 5+ years of data analysis experience in an industry setting
- Experience in business forecasting and time series data
- Understanding of statistical methods (experimentation, probabilities, regression) and hypothesis testing
- Graduate-level statistics coursework or MS in a quantitative field
- Experience with Python for data cleaning, analysis, JSON parsing, API calls, and automation
- Ability to translate stakeholder requests into data research questions and analyses
- End-to-end ownership of data projects from data cleaning to modeling to reporting
- Strong SQL proficiency, writing complex queries across schemas and tables (experience creating views preferred)
- Proficiency with Tableau or similar dashboarding tools
- Excellent communication skills and cross-functional collaboration experience
- Ability to deliver time-sensitive ad-hoc analyses in a fast-moving environment
- Interest in public health
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What We Do
Lyra Health’s mission is to transform mental health care through technology with a human touch — to get more patients the care they need when they need it. If you are an engineer or data scientist who would like to join in this effort, please reach out.
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