Data Scientist

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist Remote, US Join PatientPoint to be part of a dynamic team creating change in and around the doctor's office. As a leading digital health company, we innovate to positively impact patient behaviors. Our purpose-driven approach offers an inspirational career opportunity where you can contribute to improving health outcomes for millions of patients nationwide. Location: Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations, marketing, campaign measurement, and customer attrition. As a Data Scientist, you'll impact the organization by creating data products that synthesize available data into useful predictions, enable manual processes to be automated, and provide digestible information for human-in-the-loop decisions. What You'll Do - In this role, you'll work with a cross-functional team to enhance PatientPoint's durable provider growth strategy. - You'll be a core member of the team responsible for modeling the value of providers in the market and creating data pipelines that prioritize recruitment. - To be successful, you'll develop a deep understanding of the goals and constraints of the provider growth team and leverage machine learning, analysis, and data storytelling techniques to move the business towards its goals. - To stay organized, you'll work in Git, participate in code reviews, and keep your work documented (Jira, Confluence, READMEs) . - To maximize impact, you'll proactively share insights with your cross-functional collaborators and data science team. What We Need - Bachelors degree in Applied Statistics,

Read the full description at job-boards.greenhouse.io. FewerJobs shows a source-linked preview and links to the original posting.