Sr. Data Scientist - Forecasting
About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. 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.
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
Pay
The anticipated annual base salary range for this full-time position is $128,000-$176,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Benefits
- Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
- Lyra for Lyrians; coaching and therapy services
- Equity in the company through discretionary restricted stock units
- Competitive time off with pay policies including vacation, sick days, and company holidays
- Paid parental leave
- 401K with up to 3% matching
- Monthly tech allowance