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

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Ability to work autonomously in a fully remote, flexible environment. * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Define and execute the data science vision and roadmap aligned with business objectives and ...

Advance Auto Parts

Data Scientist

Raleigh, NC · On-site +1

Work closely with stakeholders to understand business challenges and translate them into data science solutions and work in the end-to-end solutioning. Collaborate with cross-functional teams to ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/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 ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/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 ...

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site +1

$125K - $209K/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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/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 ...

Sennos

Data Engineer

Durham, NC · On-site +1

$110K - $132K/yr

Bachelor\'s degree in Computer Science, Data Science, Engineering, or related field (or equivalent ... Office setting with remote/hybrid flexibility * Minimal travel required (occasional team meetings ...

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)

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)

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 ...

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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.
Data Scientist

Data Scientist

Elder Research

Raleigh, NC • On-site, Remote

Full-time

Posted 16 days ago

Job description

Data Scientist

General Information

Requisition # 694

Locations USA-VA-Arlington OR USA-NC-Raleigh

Posting Date 05/08/2026

Security Clearance Required - NONE

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH International Corporation, seeks a motivated, career and customer-oriented Data Scientist to join our team in Raleigh, NC or Washington DC. This role is hybrid, and candidates must be located in the Raleigh or Washington, DC market to support 1–2 days onsite per week.

This role is for a highly experienced and curious data scientist to lead the full-lifecycle development and deployment of analytical solutions at Elder. You will operate as a critical member of an analytics team, acting as a trusted advisor to diverse client partner team. The focus is on leveraging advanced analytical methods to turn ambiguous business challenges into high-impact, production-ready models, supported by robust data engineering practices.

Responsibilities include but are not limited to:

  • Lead Data Science Initiatives: Dive deep into complex and often nebulous requirements, applying expertise in areas such as time series forecasting and Natural Language Processing (NLP) to build, train, and maintain predictive models. Additionally, candidate should be capable of leading and mentoring more junior data scientists.
  • Problem Solver and Consultant: Engage in critical requirements gathering and data "sleuthing" (approximately 10-20% of the role) to connect business use cases with underlying data patterns. You will carve your own path to define and solve problems that lack clear initial definitions.
  • Deliver Automation and Insights: Partner with technical and non-technical groups to identify manual processes and provide recommendations for automation, including building models for functions like anomaly detection and case prediction.
  • Full-Lifecycle Ownership: Utilize data engineering skills to integrate and deploy your analytical solutions, ensuring scalability and operational reliability. This includes troubleshooting deployment issues as needed.
  • Collaborate and Communicate: Interface with internal teams and external client stakeholders to effectively communicate technical findings, maintain strong relationships, and ensure delivery aligns with overall objectives.

Minimum Qualifications:

  • 5+ years of experience as a Data Scientist.
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • Proficiency in Python, including libraries for data analysis and modeling.
  • Strong SQL experience to facilitate deep dives and analysis of complex datasets.
  • Strong hands-on experience with AWS services, Sagemaker, Lambda, Step Functions, Glue, S3, and Athena, used to build and manage production data pipelines.
  • Knowledge of CI/CD pipelines, version control (Git), and Infrastructure-as-Code.
  • Familiarity with logging, monitoring, and alerting using CloudWatch or similar tools.
  • Understanding of IAM roles, policies, and security best practices for AWS services.
  • Curiosity and a passion for exploring data to understand business context and connect technical work to real-world impact.
  • Willingness to learn new tools/techniques.

Preferred Qualifications:

  • Familiarity with AWS Cloud Development Kit (CDK) and/or Typescript.
  • Exceptional comfort with ambiguity and a proven ability to define and drive projects from vague concepts to concrete outcomes.
  • Strong consultative and communication skills, capable of representing the team effectively to clients.
  • Ability to work autonomously in a fully remote, flexible environment.
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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