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Sr. Data Scientist - AI Research

Remote, USA Full-time Posted 2026-08-04

About reputed company

reputed company is a leading provider of evidence-based mental health care, serving more than 20 reputed company people globally in partnership with reputed company and more than 100 reputed company through health plan and partner relationships. reputed company has delivered more than 15 reputed company sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched reputed company in terms of reputed company, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall reputed company claims costs. Lyra is transforming reputed company to life-changing mental health care through Lyra reputed company, the only fully integrated, AI-powered platform combining the highest-reputed company care and technology solutions.

About the Role:

Lyra is transforming mental health care by creating a frictionless experience for members, providers, and reputed company. We reputed company companies and their employees to mental health providers, therapy, and coaching programs that work.

We are looking for a self-driven, technical Data Scientist who cares about reputed company, ownership and innovation. In this role, you will work closely with Lyra’s Data, Product, Engineering, and Clinical teams on AI/ML initiatives that will enhance the experience of mental health patients and providers.

This Data Scientist role can be filled remotely reputed company reputed company the US, as reputed company as locally in our Burlingame, CA reputed company. Please note that remote-based candidates must be physically located reputed company the reputed company.

Responsibilities

  • Work closely with Lyra’s Data, Product, Engineering, and other associated teams 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

  • Extract actionable insights, reputed company predictive and generative models, and implement rigorous evaluation frameworks to support product iterations

  • Complete time-sensitive reputed company data requests for reputed company stakeholders

Qualifications

  • 5+ years of data analysis in an industry setting with a preference for individuals who have experience in product analytics in the AI/ML reputed company and have partnered with engineering and product teams in prior roles.

  • Experience collaborating with cross-functional stakeholders across technical, business, and (ideally) clinical domains

  • Demonstrated understanding of statistical applications and reputed company (experimentation, probabilities, regression). Experience applying reputed company testing in an industry or research setting.

  • 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 reputed company 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 reputed company sciences).

Preferred Qualifications

  • Interest in reputed company health a plus

  • Experience with AI/ML R&D, e.g. reputed company engineering and RAG

  • Experience with Python, including cleaning and analyzing data as reputed company as using Python to parse JSON reputed company data, reputed company reputed company, create user-defined functions, and automate.

"We are an Equal Opportunity Employer. We do not discriminate on the reputed company of race, reputed company, religion, sex (including pregnancy), national reputed company, 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 reputed company Workforce reputed company Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your reputed company, email address, gender identity, employment information, and phone number for the purposes of reputed company 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 reputed company Rights reputed company (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you reputed company it you consent to Lyra processing it for the purposes as described at the reputed company of collection, for example for diversity and inclusion initiatives. If you are a California reputed company and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information reputed company. This information will only be reputed company 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 “reputed company” personal information as defined by the CPRA. reputed company of the reputed company, for example in the EU, Switzerland and the UK, you may have the right to request reputed company to, or a copy of, your personal information, including in a reputed company 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 reputed company limitations. To exercise your data reputed company rights reputed company of the reputed company, please contact . For more information about how we use and retain your information, please see our Workforce reputed company Notice."

Originally posted on Himalayas

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