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

Senior Data Scientist III

Raleigh, NC · On-site +1

$115.40K - $192.30K/yr

Do you want to help us build further data science capabilities? And are you eager to work on the quality of data sources serving our end-user products? About our Team LexisNexis Legal & Professional ...

Senior Data Scientist II

Raleigh, NC · On-site +1

$125.90K - $209.70K/yr

Mentor team members and provide technical leadership in data science and AI. Requirements: * Education: Master's degree or above in a quantitative or technical field (Statistics, Computer Science ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in Computer Science or ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in Computer Science or ...

Lead Data Engineer

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

... with remote teams Nice-to-Haves   * AWS Solutions Architect / Developer / Data Analytics Specialty certifications, Professional certification is a plus. * Bachelor Degree in Computer Science or ...

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 ...

New

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68.50K - $217.10K/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 ...

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68.50K - $217.10K/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 ...

Lead Clinical Data Manager (Remote)

Raleigh, NC · Remote

$68.50K - $217.10K/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 ...

Lead Clinical Data Manager (Remote)

Durham, NC · On-site +1

$68.50K - $217.10K/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 ...

Lead Clinical Data Manager (Remote)

Durham, NC · Remote

$68.50K - $217.10K/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 ...

... remote work and setting your own schedule. We are looking for experienced quantitative ... Whether your background is in data science, astrophysics, economics, biostatistics, operations ...

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Showing results 1-20

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 May 30, 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 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 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.

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 are the most commonly searched types of Data Science jobs in Raleigh, NC? The most popular types of Data Science jobs in Raleigh, NC are:
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:
Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Senior Advisor, Data Science - Medical Cost Trend & Forecasting - Remote

Cigna

Raleigh, NC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cigna Healthcare rating

8.3

Company rating: 8.3 out of 10

Based on 215 frontline employees who took The Breakroom Quiz

31st of 864 rated healthcare providers


Job description

Join our Data Science Center of Expertise and help shape the future of healthcare forecasting. In this role, you will drive innovative approaches to medical cost trend forecasting and reserving, improving accuracy and enabling smarter financial decisions. You will work with cross-functional partners to bring advanced analytics to life and strengthen the predictability and stability of our business.

Responsibilities

  • Lead the design and delivery of advanced medical cost forecasting solutions that improve claim reserving and enterprise financial forecasting

  • Prototype and validate new analytical approaches using techniques such as time series modeling, simulation, and machine learning

  • Create diagnostics and performance measures to evaluate forecast accuracy and explain key cost drivers

  • Partner with finance, actuarial, and business teams to translate forecasting needs into actionable analytics solutions

  • Communicate findings through clear insights, presentations, and technical documentation to support decision-making

  • Develop early-warning analytics to identify emerging cost trends and risks

  • Collaborate with data engineering and product teams to ensure scalable and interpretable solutions

  • Contribute to model monitoring, governance, and continuous improvement processes

  • Mentor junior team members and share best practices across the data science community

Qualifications

Required Qualifications

  • 5+ years of experience in data science, analytics, or a related field

  • Strong proficiency in Python, SQL, machine learning, and statistical modeling

  • Hands-on experience with forecasting techniques such as time series analysis, simulation, or scenario modeling

  • Experience working with large datasets using platforms such as Databricks or Spark

  • Ability to communicate complex analytical concepts to technical and business audiences

  • Experience partnering cross-functionally to deliver data-driven solutions

Preferred Qualifications

  • Experience in healthcare payer analytics, including medical cost trend, reserving, or pricing

  • Experience with anomaly detection or advanced statistical techniques

  • Knowledge of model lifecycle management and best practices for reproducible research

  • Demonstrated ability to mentor and guide junior team members


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 131,200 - 218,600 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, click here.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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