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Manager Research Data Scientist Jobs (NOW HIRING)

AgSource

Dairy Data Scientist

Watertown, WI · On-site

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers. * Translate scientific findings and analytical results into practical recommendations for dairy ...

Farm Systems

Dairy Data Scientist

Watertown, WI · On-site

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers. * Translate scientific findings and analytical results into practical recommendations for dairy ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

Partner with veterinarians, nutritionists, farm managers, researchers, data scientists, and engineers. * Translate scientific findings and analytical results into practical recommendations for dairy ...

Base-2 Solutions, LLC

Data Scientist

Bethesda, MD · On-site

Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data ...

RELX

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Data Scientist Build AI That Accelerates Scientific Discovery Do you want your work to help researchers solve humanity's biggest challenges? At Elsevier, data science is not about building models for ...

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

As of Sep 7, 2026, the average yearly pay for manager research data scientist 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 does a Manager Research Data Scientist do?

A Manager Research Data Scientist leads a team of data scientists in designing and executing research projects that utilize large datasets to uncover insights and inform business decisions. They oversee the development of data models, statistical analyses, and machine learning algorithms, ensuring the quality and integrity of research outcomes. In addition to technical expertise, they manage project timelines, mentor team members, and collaborate with stakeholders to translate complex data findings into actionable strategies. Their role bridges advanced analytics with organizational goals, driving innovation and data-driven decision-making.

What are the key skills and qualifications needed to thrive as a Manager Research Data Scientist?

To thrive as a Manager Research Data Scientist, you need a strong background in statistics, data analysis, machine learning, and a relevant advanced degree such as a Master's or Ph.D. in a quantitative field. Experience with programming languages like Python or R, familiarity with data visualization tools, and knowledge of big data platforms (e.g., Hadoop, Spark) are typically required, along with project management certifications being a plus. Leadership, communication, and critical thinking are essential soft skills to effectively manage teams and convey complex findings to stakeholders. These skills are crucial for driving impactful research initiatives, leading data science teams, and ensuring actionable insights align with organizational goals.

How does a Manager Research Data Scientist typically collaborate with cross-functional teams within an organization?

As a Manager Research Data Scientist, you will frequently work with stakeholders across departments such as engineering, product, and business strategy. You'll be responsible for translating complex data findings into actionable insights, often presenting results to non-technical audiences. Collaboration involves leading data-driven projects, aligning research goals with business objectives, and mentoring junior data scientists. Building strong communication channels and fostering a culture of knowledge sharing are key aspects of success in this role.
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Manager Research Data Scientist jobs near you
Infographic showing various Manager Research Data Scientist job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Staff Research Data Scientist, AI Data

Google

Mountain View, CA • On-site

Full-time

Re-posted 20 days ago

Key responsibilities

  • Work with large, complex data sets and solve complex and ambitious data science problems.

  • Share and present findings to executive stakeholders, defend work, and influence strategy and product direction.

  • Interact cross-functionally with product and model teams, working closely with Product Management and engineering to identify opportunities.

Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies

Job description

Minimum qualifications:
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Preferred qualifications:
  • 12 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 10 years of work experience with a PhD degree.

About the job
Imagine being at the core of the AI revolution, where your expertise directly fuels the most advanced Large Language Models. We are the driving team behind high-quality data - the essential ingredient for unlocking unprecedented AI breakthroughs. Partner with resourceful minds, define data excellence, and make a tangible impact on the future of intelligent systems. If you're passionate about data and want to shape the trajectory of AI, your journey starts here.
As a Senior Staff Research Data Scientist, you will be a key driver of innovation. This role demands deep expertise in machine learning and a strong foundation in core data science methodologies. You'll be instrumental in conceiving and deploying solutions, directly contributing to the advancements of AI. Your ability to translate challenges into strategic opportunities will be critical as you collaborate closely with senior stakeholders.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Work with large, complex data sets and solve complex and ambitious data science problems.
  • Share/present to executive stakeholders and executives, effectively defend your work, and influence strategy and product direction.
  • Interact cross-functionally with a wide range of product and model teams. Work closely with Product Management and engineering to identify opportunities.
  • Define key metrics to measure success in various shapes and forms.
  • Develop new methodologies to improve the performance of Google's models through better training data, including data acquisition, and insights.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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