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Statistical Data Scientist Jobs (NOW HIRING)

Gormat

Data Scientist 2

Annapolis Junction, MD

You will conduct advanced statistical and predictive modeling and large scale data processing using ... The Level 2 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

New

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

The Level 3 Data Scientist shall possess the following capabilities ... Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

You will conduct advanced statistical and predictive modeling and large scale data processing using ... The Level 2 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

New

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ... computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

New

Ceribell, Inc

Data Scientist

Sunnyvale, CA · On-site

Use time-series analysis, statistical signal processing and machine learning techniques to design ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ... computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ... computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Cmu

Data Scientist

Arlington, VA · On-site

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ... computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Gormat

Data Scientist 3

Annapolis Junction, MD

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and ... computer science, and applications-specific knowledge. * Ability to use analytic modeling ...

Cmu

Data Scientist

Pittsburgh, PA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity ...

(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 ...

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All JobsStatistical Data Scientist Jobs

Statistical Data Scientist information

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$46K

$165K

$243.5K

How much do statistical data scientist jobs pay per year?

As of Jul 9, 2026, the average yearly pay for statistical data scientist 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.

How does a Statistical Data Scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

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

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a Statistical Data Scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

More about Statistical Data Scientist jobs
What cities are hiring for Statistical Data Scientist jobs? Cities with the most Statistical Data Scientist job openings:
What states have the most Statistical Data Scientist jobs? States with the most job openings for Statistical Data Scientist jobs include:
What job categories do people searching Statistical Data Scientist jobs look for? The top searched job categories for Statistical Data Scientist jobs are:
Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist 3

Gormat

Annapolis Junction, MD

Full-time

Re-posted 8 days ago

Job description

Job Description:

We are seeking a Data Scientist proficient in Python and experienced in automating workflows, data manipulation, and visualization using Jupyter Notebooks. This role involves leveraging Python expertise to streamline processes and create insightful visualizations for data-driven decision-making.

The Level 3 Data Scientist shall possess the following capabilities:

  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in DOD data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting DOD collection, processing, storage and analytic capabilities and limitations.
  • Support to ONM for critical systems. Potential for collaboration with policy and decision markers. Familiarity with excel, SharePoint, python, and an ability to scope projects/provide use cases for workflow integration. Experience with metrics, dashboards, and data visualizations will be beneficial.

Qualifications:

  • Bachelor's Degree with 10 years of relevant experience.
  • Associates degree with 12 years of relevant experience.
  • Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred.

TS/SCI with polygraph is required.

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