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Data Scientist Research Analyst Jobs (NOW HIRING)

Swayable

Research Data Scientist

San Francisco, CA · On-site

As a Research Data Scientist, you will conduct data science research, develop tools for insights in ... Required : • Fluency in the python data science stack • Expertise in statistical, analytical ...

Swayable

Research Data Scientist

Washington, DC · On-site

As a Research Data Scientist, you will conduct data science research, develop tools for insights in ... Required : • Fluency in the python data science stack • Expertise in statistical, analytical ...

Swayable

Research Data Scientist

Manhattan, NY · On-site

The Research Data Scientist role involves conducting data science research, developing tools for ... Required : • Fluency in the python data science stack • Expertise in statistical, analytical ...

Avosys Technology, Inc.

Operations Research Analyst

Dayton, OH · On-site

$93K - $110K/yr

Master's degree in Operations Research, Statistics, Mathematics, Industrial Engineering, Data Analytics, Data Science, Computer Science, or a closely related discipline. * Minimum five (5) years of ...

HOF Capital

Data Scientist / Researcher

Manhattan, NY

$160K - $470K/yr

... research & analyses on future market opportunities, in order to identify the most promising ones. * Assist with investment due diligence by: (1) collecting the data needed for accurate market ...

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Data Scientist Research Analyst information

What is a data scientist research analyst?

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.

What are the key skills and qualifications needed to thrive as a data scientist research analyst?

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.

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.

Is a data scientist research analyst job still in demand?

Data scientist research analyst roles remain in high demand due to the increasing reliance on data-driven decision making across industries. These positions often require skills in statistical analysis, programming languages like Python or R, and familiarity with data visualization tools, making them valuable in many organizations seeking to leverage big data. The job market for these roles continues to grow as companies prioritize analytics and artificial intelligence initiatives.
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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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist (Research & Evaluation)

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Re-posted 16 days ago

Job description

Role Overview
LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.
As the Data Scientist (Research & Evaluation), you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.
This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.
Key Responsibilities
Efficacy & ROI Evaluation
• Baseline statistical benchmarks at intake and track them throughout program participation, from
intake to graduation.
• Design and run studies measuring product impact on student and operational outcomes.
• Quantify return on investment for companies and products across the LaunchEd portfolio.
• Produce independent, evidence-based evaluations that hold up to outside scrutiny.
• Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable
external data.
• Collaborate with higher-education and university partners to pursue university-sanctioned
research.
The LaunchEd Validation Score
• Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.
• Establish a consistent, defensible methodology that can serve as a credible market standard for
edtech validation.
• Translate study findings into the standardized LaunchEd Validation Report.
In-House Study Capacity
• Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.
• Reduce reliance on external efficacy and validation vendors.
Cross-Department Support
• Provide research and analysis support across LaunchEd teams, including network grading and
accreditation.
• Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment
Committee decisions.
Requirements
• Strong quantitative and statistical analysis skills, with the ability to design and run studies
independently.
• Experience measuring efficacy, outcomes, or return on investment, ideally in education or a
related field.
• Ability to build clear, defensible methodologies and translate data into decision-ready findings.
• Familiarity with education data, student outcomes, and relevant compliance considerations such
as FERPA and COPPA is a plus.
• Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data
visualization.
• Detail orientation, independence, and discretion handling confidential company and student data.
• Alignment with LaunchEd's mission and the Strong Minds, Good Hearts ethos.
Benefits
  • Competitive base salary + performance incentives
  • Professional development opportunities

Apply