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Data Science Research Jobs (NOW HIRING)

NCSU

Data Science Librarian

Raleigh, NC

Capturing NC State's spirit of innovation in education and research, the Hunt Library is recognized ... The Data Science Services (DSS) department (6 librarians, 1 library specialist, plus graduate ...

Leland

Science & Research Coach

This role includes teaching core skills in laboratory techniques, statistical analysis, and data analysis, as well as guiding students through research proposal development, scientific writing, and ...

Hirevouch

Data Scientist

Stay at the forefront of data science research, exploring new methodologies and technologies to drive innovation within the company. Requirements: • 3-5 years proven track record as a Data ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

NYULMC

Data Science Analyst/Engineer

New York, NY · On-site

... scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are ... In this role, the successful candidate Data Engineer / Data Scientist will work to build the data ...

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Data Science Research information

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$37.5K

$122.7K

$196.5K

How much do data science research jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science research in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is the difference between Data Science Research vs Data Analyst?

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, and tools such as machine learning algorithms and statistical methods. Their work typically involves experimentation, data cleaning, and collaboration with other teams to solve complex problems.
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Data Science Research jobs near you
Infographic showing various Data Science Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist (Clearance Required)

Whiteboard Federal Technologies

Chantilly, VA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Whiteboard Federal Technologies is seeking a Data Scientist to provide mission-critical support to their customers. The role involves evaluating and using algorithms for Natural Language Processing, Artificial Intelligence, and Machine Learning, while working with large data sets to perform entity resolution and extraction.
Responsibilities:
• Create and track accuracy and performance metrics.
• Gather data required for analysis and model building.
• Prototype models by using high-level modeling languages such as R or in software languages such as Python.
• Create, enhance, and maintain technical documentation.
• Experience building predictive and optimization models.
• Expert knowledge in at least one of the following fields: machine learning, operations research, data science research.
• Fluency in a high-level modeling language.
• Ability to do financial and statistical modeling.
• Working knowledge of SQL.
• Strong communication, influencing, and partnership skills.
• Experience with Big Data technologies.
Qualifications:
Required:
• Outstanding analytical abilities
• Comfortable working with cross-functional teams and systems
• Self-starter and able to learn on the go
• Excellent written and verbal communication skills
• Evaluate and use algorithms for Natural Language Process (NLP), Artificial Intelligence (AI), and Machine Learning (ML)
• Use large data sets to perform entity resolution and extraction for work products
• Create models to test the effectiveness of different courses of action
• Create and track accuracy and performance metrics
• Gather data required for analysis and model building
• Prototype models by using high-level modeling languages such as R or in software languages such as Python
• Create, enhance, and maintain technical documentation
• Experience building predictive and optimization models
• Expert knowledge in at least one of the following fields: machine learning, operations research, data science research
• Fluency in a high-level modeling language
• Ability to do financial and statistical modeling
• Working knowledge of SQL
• Strong communication, influencing, and partnership skills
• Experience with Big Data technologies
• A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operations Research, Statistics, Mathematics, etc.) or equivalent experience
• Industry experience in predictive modeling, data science, and analysis
• Clearance TS/SCI+
Preferred:
• Proficiency in at least one modern programming language such as Python or Java
• Ability to distill problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives
• Ability to convey rigorous mathematical concepts and considerations to non-experts
• Experience designing and supporting large-scale distributed systems in a production environment
Company:
Whiteboard Federal Technologies is an IT company specializing in software engineering services. Founded in 2009, the company is headquartered in Reston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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