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Statistical Data Scientist Jobs (NOW HIRING)

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

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

(unknown company)

Data Scientist

Orlando, FL

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 ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

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

(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 ...

Sentar

Data Scientist 3

Fort George G Meade, MD · On-site

Sentar is seeking a Data Scientist 3 in MD! Role Description: We are seeking a Data Scientist ... Mathematical, Computational, Statistical * Data Processing: Data management and curation, data ...

iNovex Information Systems

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

Job Brief Data Science, AI, ML Are you VIGILANT about your career? RealmOne definitely is! RealmOne ... You will conduct advanced statistical and predictive modeling and large scale data processing using ...

TALKTALK TELECOM GROUP PLC

Data Scientist

Circle, MT · Hybrid

Apply expertise in mathematics, statistics, data science, machine learning and AI (Including GenAI) to deliver business value by solve complex business problems. * Develop, test, deploy, monitor and ...

Gormat

Data Scientist 4

Annapolis Junction, MD · On-site

$174K - $189K/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

This role requires compiling various data sources via computer scripting, statistical analysis, and ... The Level 3 Data Scientist shall possess the following capabilities: * Foundations: (Mathematical ...

Gormat

Data Scientist 4

Annapolis Junction, MD

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

GRVTY

Data Scientist 3

Annapolis Junction, MD

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 ...

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Statistical Data Scientist information

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$46K

$165K

$243.5K

How much do statistical data scientist jobs pay per year?

As of May 29, 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.

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.

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 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.

Is 30 too late for data science?

A statistical data scientist can start a career at age 30, as the field values skills such as programming, statistical analysis, and machine learning, which can be developed through self-study, bootcamps, or advanced degrees. Many professionals transition into data science later in their careers, and age is generally not a barrier if relevant skills and experience are acquired.

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 May 2026, with employment types broken down into 1% As Needed, and 99% Full Time. Highlights an 13% Physical, and 87% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist with Security Clearance

Ingenium Consulting, LLC

Chantilly, VA

Other

Posted 14 days ago

Job description

TS/SCI with Favorable Polygraph is required for this position. We are seeking a motivated Data Scientist to join our team in the Northern Virginia area. The Data Scientist will collaborate with product design and engineering teams to implement data analytics solutions meeting the customer’s needs. The Data Scientist will have experience with extract, transform, and load. While implementing the ETL process, this Data Scientist should ask questions, connect the dots, and uncover opportunities pertaining to the data examined. A strong Data Scientist will create support data visualization to aid in decision making, AI capabilities, and evaluate large data sets supporting novel solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities
• Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets
• Identify and document areas for improvement in workflows or systems
• Research and document options for collecting or aggregating data from a variety of sources
• Use languages, such as Python, to collect and process data from a variety of sources
• Leverage the use of APIs and computing platforms to support data collection, management, and analysis
• Create, maintain, and enhance systems in support of data visualization and analytics
• Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms Required Skill Sets:
• E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering (K-means, density, etc)
• Experience using tools such as tools such as MATLAB, SAS, and InfoSphere • Experience with a combination of database tools and cloud components supporting ETL, such as: SQL, mySQL, and Data Lakes, AWS S3, IBM Cloud, and/or Microsoft Azure Data Explorer .
• Experience working with data in a variety of structured and unstructured formats.
• Experience with data visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau
• Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment
• Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an easily understood summary in graphical, verbal, or written forms
• Must have an active TS/SCI with Favorable Polygraph to be considered for this role

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