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Statistical Data Scientist Jobs (NOW HIRING)

Data Scientist

Orlando, FL ยท 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 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 ...

Data Scientist 2

Annapolis, MD ยท 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 ...

Data Scientist 4

Annapolis Junction, MD ยท 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 ...

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

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 ...

We are seeking a Data Scientist to support our NLP project focused on accurate and automatic ... Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and ...

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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 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:
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

(unknown company)

Orlando, FL โ€ข On-site, Remote

Full-time

Re-posted 6 days ago


Job description

Company Description
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
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 languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
โ€ข Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
โ€ข At least 2 years' of experience in quantitative analytics or data modeling
โ€ข Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
โ€ข Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
โ€ข Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
โ€ข Analyze raw data: assessing quality, cleansing, structuring for downstream processing
โ€ข Design accurate and scalable prediction algorithms
โ€ข Collaborate with engineering team to bring analytical prototypes to production
โ€ข Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.