Senior Data Scientist

Summary

Join Lyra Health as a Data Scientist and contribute to enhancing our mental health care platform. This product-facing role requires close collaboration with various teams, leveraging diverse data sources to extract actionable insights and inform business strategies. You will develop comprehensive analyses, address time-sensitive data requests, and build data pipelines applying clinical logic. The ideal candidate possesses 5+ years of data analysis experience, strong statistical understanding, and proficiency in Python and SQL. Lyra offers a competitive salary, comprehensive healthcare coverage, equity, generous time off, parental leave, and a 401k.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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
• Experience with MLOps
• Interest in public health a plus

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 retirement benefits
• Monthly tech allowance