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Remote Data Science Jobs in Raleigh, NC (NOW HIRING)

Well

Product Manager

Chapel Hill, NC · On-site +1

$115K - $140K/yr

Remote candidates may be considered Compensation: Product Manager ($115,000-$140,000) per year ... Collaborate with Engineering and Data Science for product prioritization as part of sprint planning ...

IQVIA

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA, Inc.

Lead Clinical Data Manager (Remote)

Durham, NC · On-site +1

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

IQVIA

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Bachelor's degree in life sciences, health, clinical, biological, or mathematical field. * No less ...

Deloitte

GCP Manager

Raleigh, NC · On-site +1

Support existing data science and modeling teams by aligning platform capabilities to business and ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

IVID TEK INC

Power BI Developer

Raleigh, NC · Remote

$45 - $50/hr

Raleigh, NC, Remote Client looking to hire a SQL/Power BI developer with 5+ years of development ... Experience with Power BI, familiarity in data science, business intelligence, data analytics ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

Archgroup

Manager, Data Engineer (Remote)

Raleigh, NC · Remote

$100K - $174K/yr

College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent. For individuals assigned or hired to work in the location(s) indicated ...

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Showing results 1-20

All JobsRemote Data Science JobsRemote Data Science Jobs in Raleigh, NC

Remote Data Science information

See Raleigh, NC salary details

$22.7K

$101K

$192.8K

How much do remote data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data science in Raleigh, NC is $101,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,195.00 and $140,154.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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What are popular job titles related to Remote Data Science jobs in Raleigh, NC? For Remote Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Raleigh, NC look for? The top searched job categories for Remote Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Science jobs? Cities near Raleigh, NC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,046 per year, or $48.6 per hour.
Product Manager

Product Manager

Well

Chapel Hill, NC • On-site, Remote

$115K - $140K/yr

Full-time

Posted 26 days ago

Job description

Description
Company:Well is a healthcare innovation company with the heart of a services organization and the DNA of a SaaS platform. Our Dynamic Engagement System transforms workforce health by uniting AI, human guidance, and proven behavioral science to reduce costs, improve outcomes, and create resilient, thriving workforces. We partner with the world's largest, most sophisticated employers and the consultants who advise them. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: https://www.well.co/careers.
Position Title: Product Manager
Reporting to: Principal Product Manager
Location: Hub locations in Chapel Hill, NC; Boston, MA; New York, NY; Remote candidates may be considered
Compensation:Product Manager ($115,000-$140,000) per year, depending on qualifications, plus bonus potential and benefits
Summary: We're looking for an experienced Product Manager to build the future of the Well platform while collaborating with our engineering, data science, clinical, and marketing partners. In this role, you will own multiple product areas across the Well platform, with a particular focus on leveraging generative AI and large language models to transform how we engage members and deliver health outcomes. You will envision and grow product strategy, analyze and understand trends in the industry, and build new technology and features for our members across their health engagement and behavior change journey. You are able to jump into the details of day-to-day execution while taking a step back to evaluate the long-term strategies and goals for your product area.
Key Responsibilities:
  • Become a domain expert and product lead in one or more relevant product areas and drive products through their end-to-end lifecycle, from requirements gathering to scoping, roadmap planning, execution, delivery, continuous improvement, and growth.
  • Identify and evaluate opportunities to apply generative AI, large language models, and other emerging technologies to Well's platform, translating cutting-edge capabilities into practical product features that improve member engagement and health outcomes.
  • Act as a liaison for multiple cross-functional stakeholder teams, including UX, Engineering, Data Science, Clinical, Business Development, and Marketing.
  • Collaborate with Engineering and Data Science for product prioritization as part of sprint planning, with an emphasis on data-driven decision-making and experimentation.
  • Synthesize user research, customer feedback, quantitative analysis, and market trends into long-term product roadmaps and priorities.
  • Use data, analytics, and AI/ML insights to define success metrics, build business cases, and measure product impact.
  • Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines.

Requirements
  • Bachelor's degree in engineering, computer science, business administration, data science, information science, or related field.
  • 3+ years in product management, engineering, or related industry experience.
  • Experience defining software projects, collecting requirements, designing process solutions, writing detailed functional specifications, coordinating efforts to scope, schedule, and deploy solutions.
  • Strong analytical and quantitative skills with intermediate-to-advanced proficiency in SQL and analytics tools (e.g., Tableau, Looker, Amplitude). Demonstrated ability to use data and metrics to develop business cases and inform product decisions.
  • Familiarity with AI/ML concepts, including large language models (LLMs) and generative AI. Ability to understand model capabilities, evaluate AI-powered product features, and collaborate effectively with data science and ML engineering teams.
  • Experience in healthcare, health tech, or digital health products.
  • Hands-on experience with AI/ML product development, prompt engineering, or building applications that integrate LLM capabilities.
  • Experience with experimentation frameworks (A/B testing, feature flagging) and data pipelines.
  • Background in behavioral science, behavior change, or member engagement strategies.
  • Familiarity with HIPAA compliance and healthcare data standards.

Apply