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Statistics Data Science Jobs (NOW HIRING)

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

Cmu

Associate Data Scientist

Pittsburgh, PA

$57K - $57K/yr

If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or ...

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Statistics Data Science information

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$46K

$165K

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How much do statistics data science jobs pay per year?

As of Jun 24, 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 jobs can I get with a statistics and data science degree?

A statistics and data science degree prepares you for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative analyst. These positions typically require skills in programming languages like Python or R, data visualization, and statistical modeling, often within technology, finance, healthcare, or consulting industries.

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 do you do in statistics and data science?

In statistics and data science, professionals analyze data to identify patterns, develop models, and generate insights that inform decision-making. They use tools like Python, R, and SQL, and often work with large datasets, applying techniques such as machine learning, data visualization, and statistical testing to solve complex problems. These roles typically require strong analytical skills and knowledge of statistical methods and programming.

Can you be a data scientist with a statistics degree?

Yes, a statistics degree can provide a strong foundation for a data scientist role, as it covers essential skills like data analysis, probability, and statistical modeling. Data scientists often also need programming skills in languages such as Python or R and experience with data visualization tools and machine learning techniques.

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.

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.
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Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in the United States as of June 2026, with employment types broken down into 20% Full Time, 73% Part Time, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Manager, Data Science

Manager, Data Science

University of Delaware

Newark, DE

Other

Posted 13 days ago

University Of Delaware rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

492nd of 539 rated colleges and universities

Job description

Manager, Data Science

Apply now Job no: 503286
College / VP Area: VP Finance & Deputy Treasurer
Work type: Staff
Location: Newark, DE
Categories: Institutional Research & Planning, Full Time

Curious about the full value of working at UD? In addition to salary, our Total Rewards benefits and Compensation Estimator give you a clear view of the complete package.

Under the direction of the Senior Director of Institutional Research and Data Science, the Manager supports the development and implementation of a campus-wide data science program directed at meeting the management and information needs of academic and administrative units across campus.  

Duties include:  

Supervision & Leadership: Supervise a team, oversee work plans and assign tasks to Analysts regarding the development of data tables and statistical models, and perform detailed code reviews of SQL and data workflows authored by data scientists;

Advanced Statistical Modeling & AI: Serve as the institution's expert for statistical modeling (including Bayesian, frequentist, data mining, artificial intelligence, and machine learning), and design, develop, and validate predictive statistical models, specifically for student enrollment management and institutional forecasting;

Data Architecture & Engineering: Design, implement, and evaluate scalable data models using SQL on Amazon Redshift, and collaborate with Data Engineering and ETL teams to modernize the enterprise data reporting platform; and

Strategic Planning & Analysis: Act as the lead person in developing analysis supporting University business practices, build novel data views to facilitate measurement of institutional progress, and meet with functional users (Deans, Directors, Officers) to determine business practices that drive standard production reports.

Additional duties include:

Data Integration & Quality: Oversee the integration of data from external national databases (IPEDS, Common Data Set) and internal systems (Student, Finance, HR), and ensure data accuracy and consistency with production systems;

Reporting & Dashboards: Contribute to Tableau dashboard development for internal and external reporting and provide accurate data sources to assist the Institutional Research team in developing standard reports; and

Ad Hoc Request Management: Respond to complex ad hoc requests for information from senior academic administrators and faculty; provide user assistance and maintain technical documentation.  

Requires a Bachelor's degree in Statistics, Data Science, Information Technology, or a related field and 5 years of experience with data governance in a higher education context. Experience must include working with Tableau, SQL, IPEDS/Common Data Set Standards, Amazon Redshift, and Oracle PeopleSoft. Limited telework permitted: must be on-site one day per week.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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