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PatientPoint

REMOTE - Data Scientist

$101.54K - $175.73K/yr

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 ...

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How much do remote data science intern jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote data science intern in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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REMOTE - Data Scientist

REMOTE - Data Scientist

PatientPoint

Remote

$101.54K - $175.73K/yr

Full-time

Retirement

Posted 18 days ago

Job 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.
WhatYou'llDo
  • 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
  • Bachelorsdegree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor 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 theirprevious experienceand/or complete aprojectusing 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 communicationskills and a collaborative attitude for working with stakeholders.

Desired Qualifications
  • Masters or doctoral degree inApplied Statistics, Computer Science,Operations Research, Business Analytics, InformationSystemsor 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 toidentifyand 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 onlypresenting the data but also explaining the insights in a context that resonates withtheaudience.
  • Strong interpersonal,communication,and consulting skills. Ability toestablishand 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 ofbehavior-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 healthbrands with relevant information that is proven to drivehealthier decisions and better outcomes. Learn more atpatientpoint.com.
Latest News & Innovations:
  1. Why is PatientPoint a Best Place to Work! Read More
  2. Teammate Honored as "Top Woman in Tech". Read More
  3. 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

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