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

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

IONNA LLC

Senior Data Analyst

Raleigh, NC

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

IONNA LLC

Senior Data Analyst

Raleigh, NC · On-site

$110/hr

About the Role We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

RELX Group plc

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

LexisNexis

Senior Data Scientist II

Raleigh, NC · On-site

$104K - $174K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

LexisNexis

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Master's degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). * Strong experience in machine learning, NLP, and LLM-based modeling.

LexisNexis

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

RELX

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

RELX Group plc

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

We are seeking a Lead Data Scientist toleads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Lead Data Scientist

Raleigh, NC

$104K - $174K/yr

We are seeking a Lead Data Scientist to leads a team of junior members to support their development ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site +1

$115K - $192K/yr

Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a ... Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. * Have ...

LexisNexis

Senior Data Scientist III

Raleigh, NC · On-site

$115K - $192K/yr

Possess an advanced or Master's education in Computer Science, Mathematics, Statistics, or a ... Be proficient in working with big data technologies and tools like Hadoop, Spark, or AWS. * Have ...

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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 6, 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 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 June 2026, with employment types broken down into 53% Full Time, 44% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $160,411 per year, or $77.1 per hour.

Senior Data Analyst

IONNA LLC

Raleigh, NC • On-site

$110/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 27 days ago

Job description

Reports To: Chief of Staff
This role requires a full-time onsite presence in Durham, NC
Target Base Range: $110 - 120k (Final compensation commensurate with experience and qualifications)
Please note: We are only able to consider candidates who are U.S. citizens or lawful permanent residents (green card holders) and who do not require current or future visa sponsorship of any sort.
About the Role
We are seeking a highly skilled Senior Data Analyst with a strong foundation in data science, statistical modeling, and advanced analytics and AI platforms to drive data-informed decision-making across the organization. This role sits at the intersection of AI, analytics, data science, and business strategy-transforming complex data into actionable insights, predictive solutions, and measurable outcomes.
The ideal candidate is comfortable working with large, complex datasets, building advanced analytical models, and communicating findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
Data Analytics & Insights
  • Analyze large, complex, and multi-source datasets to uncover trends, patterns, and actionable insights.
  • Translate analytical findings into clear recommendations that influence product strategy, operations, and executive decision-making.
  • Develop data-driven forecasts, simulations, and scenario analyses to support strategic planning.
  • Apply statistical techniques (e.g., regression, hypothesis testing, time-series analysis, clustering) to solve complex business problems.

Data Engineering & Tooling (Analytics-Focused)
  • Develop AI models and datasets to inform business decisions, correlate data and drive decision-making.
  • Write efficient, well-documented SQL and/or Python/R code for data extraction, transformation, and analysis.
  • Partner with data engineering teams to ensure high-quality, well-structured, and reliable datasets.
  • Maintain internal utilization models and support continual enhancement and development of utilization models.

Leadership & Collaboration
  • Act as a thought leader and mentor for team members and business partners.
  • Collaborate closely with stakeholders across product, finance, operations, marketing, and quality.
  • Help define best practices for analytics, experimentation, and data science across the organization.

Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field (Master's degree preferred).
  • A minimum of 5 years of experience in data analytics, data science, or a related analytical role.
  • Strong knowledge of statistical analysis, modeling techniques, and data science methodologies.
  • Experience working with large datasets and modern data platforms (e.g., cloud data warehouses, distributed systems).
  • Proven ability to translate data insights into business impact.
  • Excellent communication and stakeholder management skills.

Preferred / Nice-to-Have Qualifications
  • Experience deploying or operationalizing machine learning models in a production environment.
  • Familiarity with A/B testing frameworks and experimental design.
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern analytics stacks.
  • Knowledge of data governance, data quality, and privacy best practices.
  • Prior experience in EV Charging, consumer behavior, technical quality analytics.

What Success Looks Like in This Role
  • You own the pursuit of the truth in everything you do.
  • Analytical insights consistently influence strategic and operational decisions with clarity and conviction.
  • Predictive models and advanced analyses improve forecasting accuracy and business outcomes.
  • Stakeholders trust and rely on analytics outputs for critical decisions.
  • Analytics processes are scalable, efficient, and reproducible.

IONNA is committed to fair and equitable compensation practices through a competitive base salary, as well as offering bonus programs, comprehensive benefits such as medical, dental, vision, life, 401(K), and paid holidays. Actual base salaries are based on several factors unique to each candidate, including but not limited to skill set, experience, certifications, and specific work location.
We are committed to an inclusive and diverse team. IONNA is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.

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