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Data Scientist

PatientPoint · Remote, US · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyPatientPoint
TitleData Scientist
Normalized title-
Department / teamData Ops Analytics
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-13 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from PatientPoint.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Data Ops Analytics.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPatientPoint
Source47eede08-5f00-4667-ba0f-31fa477a5908
ATS providerGreenhouse

Description

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, Computer Science, Operations Research, Business Analytics, Information Systems or a related field. 2+ years of related data science experience developing data products, deploying models to production, and delivering analyses to internal and external stakeholders. Candidates will be asked to provide examples from their previous experience and/or complete a project using analytics to create actionable insights. Fluency in Python and SQL, with end-to-end data stack experience including manipulation, analysis, visualization, model deployment, and pipeline orchestration. Strong working knowledge of machine learning and data science methods including model training, model validation and selection, backtesting, and statistical testing. Experience taking models from development to production, monitoring performance, and iteratively improving over time. Strong communication skills and a collaborative attitude for working with stakeholders. Desired Qualifications Masters or doctoral degree in Applied Statistics, Computer Science, Operations Research, Business Analytics, Information Systems or a related field . Professional experience in healthcare, pharmaceutical, and digital advertising industries. Strong grasp of MLOps practices and software engineering principles. Experience with Snowflake, Airflow, HEX, Cursor, Claude Code. What You'll Need to Succeed Curious self-learner that enjoys staying current on emerging methods and trends and sharing with the team and others around them. Highly self-motivated and self-directed. Critical thinking with the ability to identify and scope and solve ambiguous problems in a fast-paced environment. The ability to empower others through data storytelling - translating complex data findings into compelling narratives. Comfortable not only presenting the data but also explaining the insights in a context that resonates with the audience. Strong interpersonal, communication, and consulting skills. Ability to establish and maintain successful cross functional relationships and collaborate closely with multiple teams including engineering, product management, and business stakeholders. Enthusiasm for responding to a dynamic range of questions and analytical challenges. Base Salary Band: $101,542 - $175,732 Compensation: At PatientPoint, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including skills, qualifications, geographic location, and professional experience, which can cause your compensation to vary. The base salary range listed is just one component of PatientPoint’s total compensation package for employees. For additional details on our total benefits package, please review the section “About PatientPoint” at the end of this job description. About PatientPoint: PatientPoint® is the Point of Change company, transforming the healthcare experience through the strategic delivery of behavior-changing content at critical moments of care. As the nation’s largest and most impactful digital network in 30,000 physician offices, we connect patients, providers and health brands with relevant information that is proven to drive healthier decisions and better outcomes. Learn more at  patientpoint.com . Latest News & Innovations: Why is PatientPoint a Best Place to Work! Read More Teammate Honored as "Top Woman in Tech". Read More Recognized on Vault’s Top Internship List. Read More What We Offer: We know you bring your whole self to work every day, and we are committed to supporting our full-time teammates with a comprehensive range of modernized benefits and cultural perks. We offer competitive compensation, flexible time off to recharge, hybrid work options, mental and emotional wellness resources, a 401K plan, and more. While these benefits are available to full-time team members, we strive to create a positive and supportive environment for all teammates. PatientPoint recognizes that privacy is important to you. Please read the PatientPoint privacy policy , we want you to be familiar with how we may collect, use, and disclose your information. Employer is EOE/M/F/D/V

Full job record

Job ID6b8792d55def447c0b0adab51d3f90a184f92a79
Org ID17decd7e-364c-429d-a17b-7ee7d4218371
Source ID47eede08-5f00-4667-ba0f-31fa477a5908
Board ID47eede08-5f00-4667-ba0f-31fa477a5908
Providergreenhouse
Provider Job Key4694351005
TitleData Scientist
Normalized Title
Statusactive
Activeyes
Location TextRemote, US
DepartmentData Ops Analytics
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/patientpoint/jobs/4694351005
Apply URLhttps://job-boards.greenhouse.io/patientpoint/jobs/4694351005
First Seen At2026-05-29 22:58:14Z
Last Seen At2026-06-06 20:05:35Z
Last Checked At2026-06-06 20:05:35Z
Last Changed At2026-05-29 22:58:14Z
Inactive At
Source Posted At2026-05-13 16:27:46Z
Source Updated At2026-05-27 16:39:52Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=patientpoint/date=2026-06-06/2026-06-06T20-05-34-814Z-bafc3778752ba602d4af5f9294a0005a3959bc655a0011714ca7b9951ccc0112.json
Event Fields
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Parsed Structured
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Extensions
{}
Native Structured
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