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Senior Research Data Scientist Jobs (NOW HIRING)

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

System One

Research Data Scientist

Pittsburgh, PA · On-site

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

Penn State

Research Data Scientist

State College, PA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in ...

The Pennsylvania State University

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in ...

Idaho National Laboratory

Research Data Scientist

Idaho Falls, ID · On-site

$79K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Idaho National Laboratory is hiring a Research Data Scientist . Our team works a 9x80 schedule located out of Idaho Falls, Idaho Falls with every other Friday off . At Idaho National Laboratory, you ...

AEI

(Senior) Research/Data Analyst, Housing Center

Washington, DC · On-site

$131K - $131K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

... data science, business intelligence, and statistical programming. The anticipated start date for ... A (senior) research analyst will focus on researching and writing, and a (senior) data analyst will ...

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Senior Research Data Scientist information

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$41.5K

$142.5K

$201K

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

As of Aug 18, 2026, the average yearly pay for senior research data scientist in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What does a senior research data scientist do?

A Senior Research Data Scientist leads advanced data analysis projects, often focusing on developing new algorithms, statistical models, or machine learning techniques to solve complex problems. They work closely with cross-functional teams, design experiments, and interpret large datasets to generate actionable insights. Their responsibilities also include mentoring junior team members, publishing research findings, and staying updated on the latest trends in data science and technology.

How does a senior research data scientist typically collaborate with cross-functional teams on research projects?

As a Senior Research Data Scientist, you will frequently work alongside professionals from diverse backgrounds, such as software engineers, domain experts, and product managers. Collaboration often involves translating complex data findings into actionable insights for stakeholders, co-developing research methodologies, and ensuring data-driven solutions align with business objectives. Strong communication skills are crucial, as you'll be expected to present your results clearly and guide teams in implementing analytical models. Such cross-functional collaboration not only enhances project outcomes but also provides opportunities for professional growth and exposure to various aspects of the organization.

What are the key skills and qualifications needed to thrive as a senior research data scientist, and why are they important?

To thrive as a Senior Research Data Scientist, you need advanced expertise in statistics, machine learning, programming (often Python or R), and a strong academic background such as a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), cloud computing, and tools such as TensorFlow or scikit-learn is typically required, along with experience publishing research or patents. Exceptional problem-solving, communication, and leadership skills help you drive projects and collaborate across multidisciplinary teams. These competencies are critical for extracting actionable insights from complex data, advancing innovative solutions, and leading impactful research initiatives.

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

AspectSenior Research Data ScientistData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), research experienceBachelor's or Master's, industry-focused skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, startups
Employer & Industry UsageResearch institutions, universities, corporate R&DTech, finance, healthcare, retail

Senior Research Data Scientists typically hold advanced degrees and focus on research and development, often working in academic or corporate R&D settings. Data Scientists usually have a bachelor's or master's degree and work directly on data analysis, modeling, and business insights in industry environments. The roles overlap in data analysis skills but differ in focus and work environment.

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Senior Research Data Scientist jobs near you
Infographic showing various Senior Research Data Scientist 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 $142,460 per year, or $68.5 per hour.

Senior Research Data Scientist, Meridian AI

Socket.dev

Manhattan, NY • On-site

$174 - $252/hr

Other

Posted 5 days ago

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
  • Experience with econometrics, machine learning and Bayesian statistics.
Preferred qualifications:
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
About the job:

As a part of the Meridian AI team, you will focus on revolutionizing Marketing Mix Modeling (MMM) by building an autonomous, agent-based AI product that automates the traditionally complex, high-friction model-building life-cycle.

Your mission is to democratize access to advanced media effectiveness measurement for Google's advertisers and agencies while also drastically improving modeling productivity and quality.

In this role, you will have the unique opportunity to bridge the gap between traditional data science and the next‑generation AI. You will combine your deep econometric and statistical expertise with cutting‑edge agentic technology to build Subject Matter Expert (SME) agents from the ground up, effectively encoding human analytical intuition into an autonomous system that scales expert‑level measurement globally.

You will bring scientific and statistical methods to bear on the challenges of advertising product creation, development and improvement with a deep, data‑driven appreciation for the behaviors of the end user and the ecosystem. As a Data Scientist on the Meridian AI team, you will shape the strategic technical direction of Google’s next‑generation marketing analytics. In this pioneering role, you will act as the crucial bridge between classical data science and frontier AI.

Your primary focus will be leading the research and development of advanced Marketing Mix Modeling (MMM) methodologies and embedding rigorous Bayesian statistics, causal inference, and machine learning into autonomous AI agents. By encoding human econometric reasoning into Large Language Model (LLM)-driven workflows, you will build intelligent systems capable of solving highly complex measurement challenges from the ground up, ensuring Google remains the undisputed industry leader in automated, scalable marketing measurement.

Individual pay is determined by factors including job‑related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:
  • Lead the design and development of innovative measurement methodologies and products, setting the strategic technical direction for Meridian and AI development.
  • Serve as the core bridge between classical data science and frontier AI by embedding rigorous Bayesian statistical frameworks into autonomous AI agents, encoding econometric reasoning, heuristic logic, and human analytical intuition into LLM-driven workflows from the ground up.
  • Pioneer advanced quantitative methods by integrating cutting-edge causal inference, statistical modeling, and machine learning techniques to solve highly ambiguous and complex measurement challenges.
  • Drive the research and development of next‑generation Marketing Mix Modeling (MMM) methodologies, setting the technical strategy for integrating advanced econometric models into the Meridian AI product suite, ensuring Google remains at the forefront of marketing analytics.
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