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

McGough Construction

Manager, Data Science

Raleigh, NC · On-site

Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field * 6-10+ years of experience in data science, advanced analytics, or applied modeling * Proven experience ...

Varsity Tutors

Data Science Tutor

Chapel Hill, NC · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

ClifyX

AI ML Data Scientist

Cary, NC · On-site

... Science & Analytics and Project management in Banking and Financial Services. • Expertise in Predictive Modeling and Big Data Analytics, Statistical model development, Implementations ...

S&P Global

Vice President, Data Science

Raleigh, NC

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling ...

Spgi

Vice President, Data Science

Raleigh, NC

$177K - $350K/yr

We are seeking a Data Scientist Leader to lead the design, development, and operation of high-rigor ... Deep grounding in statistics, machine learning, time-series analysis, and predictive modelling ...

LivaNova

Statistical Programmer II

Raleigh, NC

$90K - $100K/yr

Bachelor's degree or higher in statistics, mathematics, computer science, life sciences, data science, or related field. * Relevant experience in clinical trial programming, clinical data analysis ...

UNC-Chapel Hill

Department Manager

Chapel Hill, NC

$17.50 - $19.50/hr

S. in Statistics, Analytics and Data Science (STANDS), as well as undergraduate programs including the B.S. in Statistics and Analytics, the B.A. in Data Science, the undergraduate minor in ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site

D. in Data Science, Computer Science, Statistics, or a related field; MBA or additional business education is a plus. • 10+ years of progressive experience in data science, machine learning, or AI ...

Red River

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

S. Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

S. Build data science solutions for business challenges including customer propensity, product forecasting, and recommender systems. Use machine learning, data mining, and statistical methods to ...

Galaxy i Technologies, Inc.

Lead Data Scientist

Cary, NC · On-site

... statistical models, analytics, and Machine Learning algorithms using Python and cloud tools (Azure).  • Research and Innovation: Stay up to date with the latest advances in AI, Data Science, and ...

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Showing results 1-20

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

Statistics Data Science information

See Raleigh, NC salary details

$44.7K

$160.4K

$236.7K

How much do statistics data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for statistics data science in Raleigh, NC is $160,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,800.00 and $165,300.00 per year, depending on experience, location, and employer.

Can I get a data science job with a statistics degree?

A statistics degree can provide a strong foundation for a data science role, as it covers essential skills like data analysis, probability, and statistical modeling. However, proficiency in programming languages such as Python or R, experience with data manipulation tools, and knowledge of machine learning are often required to qualify for data science positions.

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

To thrive as a Statistics Data Scientist, you need a solid background in statistics, mathematics, and programming, often supported by a degree in a quantitative field. Proficiency with statistical software (such as R or SAS), programming languages (like Python), and data visualization tools is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and conveying insights to stakeholders. These competencies ensure accurate data analysis, actionable business solutions, and clear communication within cross-functional teams.

What are statistics data scientists?

Statistics data scientists are professionals who apply statistical methods and data analysis techniques to extract insights from large and complex datasets. They combine expertise in mathematics, computer science, and domain knowledge to solve real-world problems, build predictive models, and inform decision-making processes. Their work often involves collecting, cleaning, and analyzing data, as well as communicating findings to stakeholders through reports and visualizations.

Is statistics and data science a good career?

Statistics and data science are considered strong career options due to high demand across industries such as technology, finance, and healthcare. These roles typically require skills in programming, data analysis, and machine learning, and often offer competitive salaries and growth opportunities.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating routine data analysis tasks and enabling more complex modeling. However, statisticians are still essential for designing experiments, interpreting results, and ensuring data quality, making their skills valuable alongside AI tools in data science and analytics environments.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.

How do Statistics Data Scientists typically collaborate with cross-functional teams to deliver impactful insights?

Statistics Data Scientists frequently work alongside professionals from engineering, product management, and business teams to define project goals and identify key metrics. Collaboration often includes translating complex statistical analyses into actionable business recommendations and clearly communicating findings to non-technical stakeholders. This role requires strong interpersonal skills, as well as the ability to adapt technical language for diverse audiences. Regular meetings, data review sessions, and shared project management tools are common parts of the workflow, ensuring that insights are aligned with organizational objectives.
What are popular job titles related to Statistics Data Science jobs in Raleigh, NC? For Statistics Data Science jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Statistics Data Science jobs in Raleigh, NC look for? The top searched job categories for Statistics Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Statistics Data Science jobs? Cities near Raleigh, NC with the most Statistics Data Science job openings:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in Raleigh, NC as of July 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.
Manager, Data Science

Manager, Data Science

McGough Construction

Raleigh, NC • On-site

Full-time

Posted 29 days ago

Job description

McGough is a respected partner that brings six generations of experience to high profile, unique and complex construction projects. We take great pride in our people and their extraordinary expertise in planning, development, construction and facility management. McGough employee tenure reflects the commitment and pride we share in our work. Ask anyone who knows us - the caliber of our people sets us apart.
MANAGER, DATA SCIENCE
The Manager of Data Science will build and lead a focused, high-impact team solving complex, high-value business problems through applied data science. This role defines how data science is used to improve how the business operates and makes decisions.
Operating in close partnership with business units, Central Analytics, and Data Engineering, this team functions as a high-leverage strike team, deploying into targeted, time-bound efforts (typically 8-24 weeks) to connect signals across the business and deliver measurable impact across cost, risk, and operational performance.
This role sets technical direction and ensures the team applies sound statistical and machine learning practices, while remaining grounded in real-world outcomes. The Manager is expected to stay hands-on, partially contributing to feature engineering, model development, evaluation, and production readiness to ensure solutions are not only technically sound, but usable and durable in practice.
Success in this role requires balancing analytical insight with operational reality, combining data with the experience and intuition of teams in the field to identify risks earlier, improve planning, and enable better decisions. This leadership role lives within the Digital Operations organization with responsibility for building and shaping the data science capability from the ground up as McGough continues to scale its investment in data, technology, and analytics.
QUALIFICATIONS:
Required:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, or related field
  • 6-10+ years of experience in data science, advanced analytics, or applied modeling
  • Proven experience building statistical or machine learning models and delivering them in real-world business contexts with measurable outcomes
  • Strong programming experience in Python (or equivalent), including data manipulation, modeling, and evaluation
  • Experience leading or mentoring analytical teams
  • Experience working with version control (e.g., Git) and structured development practices
  • Strong communication skills translating technical outputs into business decisions

Preferred:
  • Master's degree in Data Science, Statistics, Mathematics, Engineering or related field.
  • Experience in complex operational environments (construction, manufacturing, logistics, etc.)
  • Experience selecting, building, and evaluating machine learning models across multiple problem types
  • Experience with optimization, simulation, or advanced forecasting
  • Familiarity with modern data platforms and engineering concepts
  • Experience applying machine learning in real-world business settings

Skills:
  • Strong problem structuring and analytical reasoning
  • Ability to operate effectively with incomplete or imperfect data
  • Experience with statistical modeling, machine learning, or optimization techniques
  • Experience with model validation, feature engineering, and performance evaluation
  • Ability to design reproducible analytical workflows and structured development practices
  • Strong Python or equivalent analytical tooling proficiency
  • Clear communication of complex concepts into actionable decisions
  • Ability to balance analytical rigor with practical application

CORE RESPONSIBLITIES:
Problem Framing & Solution Design
  • Translate loosely defined business challenges into structured analytical problems
  • Define success criteria tied to business decisions and measurable outcomes
  • Determine appropriate approaches including forecasting, optimization, or modeling
  • Identify key assumptions, constraints, and risks early

Advanced Analytics Delivery
  • Lead development of predictive models, scenario analysis, and decision frameworks
  • Guide team through ambiguous data environments without stalling on perfection
  • Ensure outputs are actionable, interpretable, and aligned to business use
  • Guide model evaluation, validation, and performance monitoring practices
  • Ensure models are designed for production use, including scalability, robustness, and maintainability
  • Accountable for the full analytical lifecycle from problem framing through model development, validation, deployment readiness, and post-deployment performance tracking
  • Ensure analytical outputs are reproducible, well-documented, and stable enough for business use beyond initial delivery

Operating Model & Intake Discipline
  • Define and enforce intake criteria focused on high-value, non-routine problems
  • Prioritize work based on business impact rather than request volume
  • Manage project-based work cycles (8-24 weeks) with clear start and end points
  • Ensure completed work is transitioned to BI, Data Engineering, or business teams for ongoing use

Model Development & Production Readiness
  • Guide development of models and analytical workflows that can be reused or extended beyond one-time analysis
  • Establish lightweight practices for versioning, validation, and documentation of analytical work
  • Ensure clear ownership and transition plans for models after delivery (handoff to BI, Data Engineering, or business teams)
  • Define when analytical solutions require further operationalization versus remaining project-based

Team Leadership
  • Build and lead a small team of advanced analysts or data scientists
  • Act as a player-coach, contributing directly to complex analytical work
  • Set standards for analytical rigor, clarity, and business relevance
  • Develop team capability in both technical and business-facing skills

Additional Responsibilities
  • Actively contribute as a member of the Digital Operations group, collaborating to support shared goals and objectives
  • Attend and participate in project management and other company meetings
  • Represent McGough professionally at all events, upholding company standards and serving as a positive ambassador
  • Attend company and team meetings, pursuing ongoing personal and professional development to enhance skills and performance
  • Collaborate across departments and with external stakeholders to ensure cohesive project execution
  • Actively support and participate in Lean events, promoting the McGough Way and fostering a culture of continuous improvement

OFFICE AND TRAVEL:
  • Position will be based in McGough's Raleigh, NC Office.
  • McGough supports a hybrid work schedule, with exact days and times defined by manager and team.
  • Travel is expected to be approximately 25% consisting of quarterly trips to McGough's headquarters for various training or team building activities. Additional travel to various national office locations may be required as determined by the individual and their manager.

PHYSICAL REQUIREMENTS:
The physical requirements listed here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Position involves sitting for extended periods of time at employee's workstation and during meetings as well as while traveling, either by plane or car. Employee needs to be able to lift to 20 pounds as frequently as needed to move objects; dexterity to write and manipulate computer keyboard and mouse; ability to hear and speak clearly; and ability to distinguish between colors on graphs and charts.
Employee may be required to visit construction jobsites which may expose the employee to dirt, dust, uneven surfaces, outdoor weather conditions and extreme temperatures.
Accessibility: If you need an accommodation as part of the employment process please contact Human Resources at
Email: HR@mcgough.com
Equal Opportunity Employer, including disabled and veterans.
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