Data Scientist - Product (U.S. only)

Core Responsibilities:

• As a Data Scientist on this product-facing team, you will...
• Become an expert in the data we collect and use that data to enable us to create the highest quality product for our clients.
• Develop comprehensive analyses from diverse data sources to answer questions related to the client care journey.
• Translate data insights into recommendations on business strategy and product roadmaps.
• Partner with data engineers to build pipelines that apply clinical logic to raw data.
• Complete time-sensitive ad hoc data requests for internal and external stakeholders.

Required Skillsets & Experience:

• 2-to-3 years of professional, quantitative data analysis experience with a preference for individuals who have experience in product analytics, and have partnered with engineering and product teams in prior roles.  NOTE:  While we do require a minimum of 2 years of professional (non-academic/non-internship) experience to qualify, this is not a Senior-level position.
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression).  Experience applying hypothesis testing in an industry or research setting.  
• Strong SQL proficiency.  Experience writing complex queries with multiple schemas and tables, and a preference for candidates who have experience creating views.
• Solid 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 developing comprehensive analyses using irregular data from disparate sources.  Willing to do whatever it takes to clean messy data prior to deriving insights. 
• Ability to deliver time-sensitive ad-hoc analyses requested by leadership.
• Excellent communication skills and experience collaborating across multiple functions
• Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).

Preferred Skillsets & Experience:

• Interest/prior experience in public health a plus.
• Experience with Tableau is a plus.

Diversity & Inclusion

• Diversity, equity, inclusion, and belonging (DEIB) at Lyra is essential to the way we deliver culturally responsive care, build and manage our provider network, and support holistic efforts to strengthen DEIB in workplaces around the world—including our own.
• People come to Lyra with a range of needs, backgrounds, and abilities that influence their response to mental health support. Our diverse network of providers delivers comprehensive mental health treatment and support rooted in culturally responsive care, a multicultural approach that accounts for the impact of cultural backgrounds on each person’s care experience. Learn more at https://www.lyrahealth.com/diversity-equity-inclusion-belonging/