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Data Scientist

Durham, NC · Remote

$51 - $58/hr

Collaborate with researchers, analysts, and leadership teams supporting environmental and public health initiatives Minimum Qualifications * Bachelor's degree in Data Science, Computer Science ...

Jj

Principal Data Scientist, R&D Oncology

San Diego, CA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and ...

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Principal Data Scientist, R&D Oncology

Cambridge, MA · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and ...

Jj

Principal Data Scientist, R&D Oncology

Raritan, NJ · On-site +1

Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific ... The Principal Data Scientist, R&D Oncology will support how we advance data capture, build and ...

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Data Scientist Research Analyst information

What are Data Scientist Research Analysts?

Data Scientist Research Analysts are professionals who use statistical, analytical, and computational techniques to extract insights from data and support business or research decisions. They combine skills in data science, such as machine learning and programming, with research analysis methods to interpret complex datasets, identify patterns, and generate actionable recommendations. Their work often involves collecting, cleaning, and analyzing data, building predictive models, and communicating findings to stakeholders. Data Scientist Research Analysts work in a variety of industries, including finance, healthcare, technology, and government.

How do Data Scientist Research Analysts typically collaborate with other teams within an organization?

Data Scientist Research Analysts often work closely with cross-functional teams such as engineering, product management, and business strategy. They translate complex data findings into actionable insights that inform decision-making across departments. Collaboration may involve regular meetings to align on project goals, sharing data visualizations, and communicating technical results to non-technical stakeholders. This collaborative environment helps ensure that data-driven solutions are both technically robust and aligned with organizational objectives.

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

AspectData Scientist Research AnalystData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentResearch-focused, often in tech, finance, or healthcare industriesBusiness or corporate settings, supporting decision-making
Employer & Industry UsageResearch institutions, tech companies, large corporationsRetail, finance, marketing, and other industries
Common Search & ComparisonOften compared for data analysis and research rolesMore general data analysis roles

The main difference is that Data Scientist Research Analysts focus on advanced research, modeling, and predictive analytics, often requiring higher technical skills and specialized education. Data Analysts typically handle data cleaning, reporting, and basic analysis to support business decisions. Both roles overlap in data handling but differ in complexity and scope.

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

To thrive as a Data Scientist Research Analyst, you need strong analytical skills, statistical knowledge, and proficiency in programming languages such as Python or R, usually supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), machine learning frameworks, and experience with databases (SQL) are typically required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for transforming complex data into actionable insights. These skills are crucial for generating valuable research outcomes, supporting business decisions, and effectively conveying data-driven findings to stakeholders.

Can a data scientist do the job of a data analyst?

A data scientist can often perform the tasks of a data analyst, as both roles involve analyzing data to extract insights. However, data scientists typically have more advanced skills in machine learning, statistical modeling, and programming, which may go beyond the scope of standard data analyst responsibilities. The roles can overlap, but the specific job requirements depend on the organization and project needs.

Is 40 too late for data science?

A Data Scientist Research Analyst can enter the field at age 40 or older, as experience, skills, and continuous learning are valued. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, and building a strong portfolio or certifications. Age is less important than demonstrated expertise and ongoing development in the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.

What is a data research analyst's salary?

A data research analyst's salary typically ranges from $50,000 to $85,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in statistical software and data visualization tools can earn higher salaries.
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Data Scientist Research Analyst jobs near you
Infographic showing various Data Scientist Research Analyst job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 33% Full Time, 10% Part Time, 51% Contract, and 4% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Operations Research Analyst / Data Scientist

Operations Research Analyst / Data Scientist

Apogee Integration, Llc

Chantilly, VA • On-site

$101K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Job Brief
Are you Apogee's next Data Guru?
Security Clearance:
DHS Suitability Required
Willing/Able to pass a TS/SCI w/Poly investigation is required
Position
Apogee's ideal Operations Research Analyst will work independently and as part of a small dynamic team of operations research analysts, data scientists, and software developers to help Apogee & our Department of Homeland Security (DHS) client build analytical systems and conduct analyses that delivers data-driven insights to enable reduction in cost and complexity, increase trust and integrity, and improve operational mission effectiveness and strategies. If you love data, tools, and finding answers for today's and avoiding tomorrow's problems, then you'll love Apogee and this position!
Duties
  • Develop analytic approaches, statistical models, and data visualization products to support mission and operational requirements of one or more DHS component agencies
  • Applies modeling and simulation methods and provides analysis of results to address immediate Homeland Security challenges
  • Prototypes data science and machine learning applications to address critical DHS client needs

Required
  • Bachelor of Science in Operations Research, Statistics, or related field; Master's degree preferred
  • Proficiency in Data Science and/or Statistical Analysis
  • Experience programming in R, Python, or other scripting language for scientific computing
  • Skilled in data visualization and use of one or more business intelligence applications including Tableau
  • Knowledge of experimental design and analysis of experiments
  • Must be a U.S. Citizen

Desired Skills
  • Prior experience applying data-driven methods to support national security challenges
  • Prior experience supporting the Homeland Security domain
  • Strong proficiency in Tableau or Power BI
  • Knowledge and experience with one or more geospatial information systems (GIS)
  • Experience with databases, ETL, and data preparation
  • Demonstrated ability to identify enabling methodologies and provide near-term solutions to address challenging customer requirements

What You'll Love About Apogee
  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility.
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance
  • Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

Apogee's Mission
  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer

Apply