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 product-minded Data Scientist who cares about impact, ownership and cross functional collaboration for the Client Enrollment team. You will work closely with Lyra’s Product, Engineering, and Operations team to deliver a seamless search experience that will provide new members with personalized treatment recommendations and connect them with the best providers for their mental health needs. You will gain a deep understanding of how search works, both from the user interface and from the machine learning perspective, as well as how it contributes to Lyra’s growth.
This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Please note, remote candidates must be physically located within the United States.
- 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
- 3+ 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.
- 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 developing comprehensive analyses using irregular data from disparate sources. Willing to do whatever it takes to clean messy data prior to deriving insights.
- Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views. Experience with Tableau is a plus.
- Excellent communication skills and experience collaborating across multiple functions
- Ability to deliver time-sensitive ad-hoc analyses requested by leadership.
- Interest in public health a plus
- Excellent communication skills and experience collaborating across multiple functions
"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 that your personal information will be processed as per the Lyra 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 globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
