Sr. Data Scientist - Forecasting

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

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.

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.

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.

Requirements

• 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

We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability,genetic information or any other category protected by law.

By applying for this position,you acknowledge thatyourpersonal informationwill be processed as pertheLyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law,we will collect personal information from you including, but not limited to,your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA)and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary,and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA.Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations.To exercise your data privacy rights outside of the United States, please contact [e-mail]. For more information about how we use and retain your information, please see our Workforce Privacy Notice.