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Statistics Data Science Jobs (NOW HIRING)

Apex Informatics

Data Scientist

Irving, TX · On-site

Duration: 6-12 months Detail Bachelor's degree in Computer Science, Statistics, Data Science, or a related field. Master's degree or higher preferred. Minimum 10 years of professional experience as a ...

The Pennsylvania State University

D.) in statistics, data science, or a closely related field by appointment start date; at a minimum a master's degree is required. The courses for which this position would be responsible may range ...

Spark Foundry

Manager, Data Science

Manhattan, NY · On-site

Required : • 2+ years of data science experience in advertising, marketing, or related fields • Deep theoretical and practical understanding of statistical/ML techniques and experimental design ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

(unknown company)

Data Scientist

Orlando, FL · On-site

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Cmu

Data Scientist

Pittsburgh, PA

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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How much do statistics data science jobs pay per year?

As of Jul 14, 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.

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.
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Assistant Professor of Statistics & Data Science

Assistant Professor of Statistics & Data Science

Carnegie Mellon University

Pittsburgh, PA • On-site

Full-time

Re-posted 12 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

56th of 553 rated colleges and universities

Job description

Description
The Department of Statistics & Data Science at Carnegie Mellon University (www.stat.cmu.edu) invites applications for a tenure track position at the rank of Assistant Professor starting in Fall 2026. The Department seeks strong candidates in all areas of statistics and data science, as well as related interdisciplinary fields. Potential areas of interest include but are not limited to computational finance, statistical theory, physical sciences and statistical computing. Excellent candidates with other research interests will also be considered and are strongly encouraged to apply.
Applications received by December 1st, 2025 are guaranteed to receive full consideration.
Carnegie Mellon Statistics & Data Science is world-renowned for the significance of its contributions to statistical theory and practice and for its outstanding interdisciplinary applied research. Faculty in the department are engaged in a wide range of theoretical, methodological and collaborative research. Current research by our faculty is helping to make fundamental advances in causal inference, neuroscience, cosmology, networks, finance, genetics/genomics, public policy, high-dimensional inference, sports analytics, and theory and methods at the intersection of statistics and machine learning.
Collaboration, both within the Department and across the university, is a core value of the Department and a hallmark of the research work of our faculty. The Department boasts a very friendly and energetic working environment, and is dedicated to fostering, mentoring and supporting its junior faculty.
The Department is also widely recognized for advancing the teaching of Statistics and Data Science and for the excellence of our undergraduate program, with large numbers of majors and popular joint programs in statistics and machine learning and statistics and economics. We also have two successful Master's programs (Applied Data Science, Computational Finance) and a thriving Ph.D. program that attract exceptional students from around the world.
Qualifications
PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD or equivalent degree no later than the start date of the appointment (August 2026).
Application Instructions
To apply for the position, interested candidates must include a cover letter, a complete curriculum vitae, a research statement, a statement of teaching interests, and the names and contact information (email addresses) for writers of at least three letters of recommendation.
Applications, including all letters of recommendation, should be complete by December 1, 2025. Review of applications will begin December 1, 2025; the position will remain open until filled.

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