Senior Data Scientist

April 11

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Lyra Health

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Lyra Health is a mental health company that partners with organizations to deliver comprehensive and effective global workforce mental health benefits. By providing evidence-based mental health care, Lyra Health boosts employee well-being and drives business impact. Their platform offers high-quality mental health support through a global network of professionals, utilizing AI matching technology to connect members quickly with suitable providers. Lyra Health serves families, couples, adults, and children, offering support for diverse mental health needs. Their programs aim to improve employee health, productivity, and reduce healthcare costs while providing a seamless member experience.

Behavioral health • mental health • digital health

501 - 1000 employees

Founded 2015

⚕️ Healthcare Insurance

☁️ SaaS

👥 HR Tech

💰 $235M Series F on 2022-01

📋 Description

• 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 4+ 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.

🎯 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. 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.

🏖️ 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 • We like to spread joy throughout the year with well-being perks and activities, surprise swag, free food, regular community celebration…and more!