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Garner Health

Manager, Data Science

Garner Health, New York, New York, us, 10261

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Garner Health Get AI-powered advice on this job and more exclusive features. Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career.

About the role:

We're looking for a Data Science Manager to develop and own Garner's product and business analytics and to manage the team of data scientists and analysts that do so. This role reports to Chief Product and Data Officer Phil Salinger.

Where you will work:

This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.

What you will do:

Manage a lean Business Intelligence team responsible for defining, building, maintaining, and synthesizing product-wide and broader business KPIs and analytics Manage data scientists and analysts staffed in Care Navigation and Payments, Claims, and Eligibility (PCE) product areas Strategic leadership and thought partnership with the C-suite by synthesizing Garner's KPIs and associated analytics to inform key decisions Management of 6-8 person team of data scientists and analysts Run Garner-wide Data Science Guild; own standards, best practices, data science community

What you will bring to the team:

8+ years of experience as a practicing data scientist Management experience A willingness to "roll up your sleeves" and do whatever is necessary to ensure company success Experience working in a rapidly evolving startup environment A desire to be a part of our mission to improve the U.S. healthcare system

Compensation Transparency:

The target salary range for this position is $196,000 - $228,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.

Fraud and Security Notice:

Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@getgarner.com.

Equal Employment Opportunity:

Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@getgarner.com. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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