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Data Scientist - Human Capital Analytics

Manhattan, NY · On-site

$110 - $150/hr

Data Scientist - Human Capital Analytics * New York City, NY We are looking for a people analytics ... as a research associate. Members of HCAP are curators of employee data and leverage it to help ...

The Pennsylvania State University

Combine full spectrum source data with modeling capabilities that associate real world objects to ... Support scientific research projects and develop geospatial algorithms while collaborating among ...

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How much do data scientist research associate jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data scientist research associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is a data scientist research associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

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

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What are some typical challenges faced by data scientist research associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.
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Data Scientist Research Associate jobs near you
Infographic showing various Data Scientist Research Associate job openings in the United States as of August 2026, with employment types broken down into 70% Full Time, 6% Part Time, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $68,039 per year, or $32.7 per hour.

Data Scientist (Research & Evaluation)

Fort Lauderdale, FL • On-site

AJAIA
See more jobs at AJAIAexternal

Full-time

Re-posted 28 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