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Statistics Data Science Jobs (NOW HIRING)

RELX Group plc

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. * At least two years of experience building predictive models ...

RELX

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. * At least two years of experience building predictive models ...

RELX Group plc

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. * At least two years of experience building predictive models ...

LexisNexis

Data Scientist III

Minneapolis, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. * At least two years of experience building predictive models ...

RELX

Data Scientist III

Saint Paul, MN · On-site

$78.80K - $131.30K/yr

Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience. * At least two years of experience building predictive models ...

E-Solutions

Senior Data Scientist

San Diego, CA · Hybrid

Computer Science, Statistics, Data Science, Data Analytics, Machine Learning. • Python, PySpark, SQL • Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker • Supervised ...

Samprasoft

Data Scientist | HYBRID

Los Angeles, CA · On-site

MS or PhD in Statistics, Data Science, Computer Science, or related disciplines with specialization in machine learning techniques * Knowledge of both supervised and unsupervised machine learning ...

MILLENNIUMSOFT

Data Science

Franklin Lakes, NJ · On-site +1

Prefer a degree in data science, statistics, applied analytics, computer science, engineering, or a related discipline * We are looking for a Data Science who is passionate about data and analysis ...

Syntricate Technologies

Data Science

Cupertino, CA · On-site

Data Scientist with strong Statistical Fundamentals learning Python with Pandas and NumPy Experience Strong Visualization * Experience Strong understanding of Data Science Cycle OOP * Python with ...

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$165K

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How much do statistics data science jobs pay per year?

As of Jun 3, 2026, the average yearly pay for statistics data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Statistics Data Science jobs
What cities are hiring for Statistics Data Science jobs? Cities with the most Statistics Data Science job openings:
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Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 89% Full Time, 9% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist III

Data Scientist III

RELX Group plc

Minneapolis, MN • On-site

$78.80K - $131.30K/yr

Full-time

Posted 23 days ago

Job description

About the Business:
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com
About the Role:
Opportunity to join a vibrant, collaborative team as a data scientist conducting statistical analysis and building predictive models for a variety of performance outcomes such as fraud and credit risk for one or more industries including (but not limited to) consumer and small business lending, telecommunication, retail, and e-commerce. You would be expected to have a firm understanding of data mining, statistical methods and multiple modeling techniques. As part of the team you would be tasked with finding innovative ways to produce solutions to serve our customers and to continually expand your expertise.
Responsibilities:
  • Understand and execute analytic plans with the appropriate statistical or modeling technique.
  • Conduct analyses supporting existing and new product development or customer sales opportunities.
  • Assemble, merge and parse large amounts of data to detect meaningful trends and patterns.
  • Explore opportunities to enhance existing products with new features or new data sources.
  • Develop machine learning models, create model code, and work with internal or external stakeholders to validate accuracy of production code.
  • Interpret, document, and communicate analytic work to non-technical audiences.
  • Proactively identify and communicate data quality issues and successfully work with other teams to implement solutions.
  • Collaborate with cross-functional peers to define product and data science strategies.
  • Provide support to other data scientists across the organization.
  • Critical reviews of data experiments to ensure accuracy, completeness, and feasibility.
  • Other duties as assigned.

Hybrid Position
Required Qualifications:
  • Bachelor's degree in statistics, data science, mathematics or quantitative methods and at least four years of relevant work experience.
  • At least two years of experience building predictive models using machine learning and conducting data analysis using R, Python or similar software packages.
  • At least two years of experience with mainstream programming languages, such as Java, R, Python, or Scala, in a collaborative environment using software development best practices such as version control and testing.
  • Superior knowledge of data science frameworks, statistical methods and advanced machine learning techniques.
  • High degree of creative, analytical and problem-solving skills.
  • Ability to learn quickly.
  • Ability to work effectively both independently and collaboratively.
  • Ability to communicate complex technical or statistical concepts to a non-technical audience.
  • Ability to apply modern data exploration and visualization techniques to deliver actionable insights.
  • Willingness to adapt to new techniques and an innovative attitude towards finding solutions.
  • Fluency with presentation and document programs such as PowerPoint, Word, Excel.

Preferred Qualifications:
  • Master's degree in statistics, data science, mathematics or quantitative methods and at least two years of relevant work experience.
  • Experience with big data technologies and applying large scale machine learning techniques.
  • Experience with version control through GitHub.
  • Experience with Unix/Linux system architecture and command line tools.
  • Experience in credit or fraud risk management industry.

U.S. National Base Pay Range: $78,800 - $131,300. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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