About Lyra Health
Lyra is transforming mental health care through technology with a human touch to help people feel emotionally healthy at work and at home. We work with industry leaders, such as Morgan Stanley, Uber, Amgen, and other Fortune 500 companies, to improve access to effective, high-quality mental health care for their employees and their families. With our innovative digital care platform and global provider network, nearly 20 million people can receive the best care and feel better, faster. Founded by David Ebersman, former CFO of Facebook and Genentech, Lyra has raised more than $900 million.
About the Role
We are looking for a self-driven Data Scientist (minimum of 5+ years of experience) who cares about impact, ownership and innovation.
*This Data Scientist role can be filled remotely anywhere within the US, as well as locally in our Burlingame, CA headquarters. Please note that remote-based candidates must be physically located within the United States.
As a Data Scientist in this Product-facing role role, your responsibilities will include:
- Work closely with Lyra’s Product, Engineering, and other associated teams (e.g., Operations, Sales & Marketing, etc. depending on the need) to enhance the Lyra platform to serve the needs of our providers and clients.
- Become an expert in the diverse data sources we collect and partner with data engineers to build pipelines that apply clinical logic to raw data
- Develop comprehensive analyses based on our datasets to extract actionable insights and translate them into recommendations on business strategy and product roadmaps
- Complete time-sensitive ad hoc data requests for internal and external stakeholders
- Our product initiatives include facilitating access to care for eligible members, enhancing our already-stellar customer experience, and enriching our suite of clinical care options.
Qualifications:
- 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics and have partnered with engineering and product teams in prior roles.
- Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting.
- 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.
- Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.
- Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).
- Experience developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights.
Preferred Skill Sets/Qualifications:
- Experience with MLOps
- Interest in public health a plus