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Data Science Phd Research Jobs (NOW HIRING)

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in ... Experience taking a model from research to production and realizing measurable value from it to the ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Must have a Advanced Degree (Master s or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site +1

$126K/yr

PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in ... Experience taking a model from research to production and realizing measurable value from it to the ...

Mercor

Biochemistry Research Scientist - PhD

New York, NY · On-site +1

$50 - $70/hr

Biology Research Scientist (BA, MS, PhD's) Type: Contract Compensation: $50-$70/hour Location ... Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy.

Dell, Inc.

Consultant, Data Science

Round Rock, TX · On-site

Consultant, Data Scientist Data Science is all about breaking new ground to enable businesses to ... PhD or published research in ML/AI, or deep expertise across ML and LLM operations (e.g., neural ...

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

... or research experience in data science will be considered. The preferred candidate will possess a Master's degree or a PhD in a relevant field such as engineering, mathematics, computer science ...

PROPRIUS

Director Data Science

San Francisco, CA

PhD in Computer Science/related field/equivalent industry experience. * Extensive Data Science experience preferably in different environments. * Experience in building Data Science product and ...

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Data Science Phd Research information

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$37.5K

$122.7K

$196.5K

How much do data science phd research jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data science phd research 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 is a Data Science PhD research position?

A Data Science PhD research position involves conducting in-depth, original research in the field of data science, often within a university or academic setting. Researchers in this role work on advanced topics like machine learning, statistical modeling, big data analytics, and artificial intelligence. The goal is to push the boundaries of knowledge in data science, publish academic papers, and contribute to solving complex problems using data-driven approaches. Such positions typically require strong analytical, programming, and mathematical skills, as well as the ability to communicate findings through publications and presentations.

What are the key skills and qualifications needed to thrive as a Data Science PhD Researcher, and why are they important?

To thrive as a Data Science PhD Researcher, you need expertise in statistical analysis, machine learning, programming (often Python or R), and a solid academic background in computer science, mathematics, or a related field. Familiarity with data visualization tools, big data platforms (like Hadoop or Spark), and version control systems, as well as relevant publications or conference presentations, is typically expected. Strong analytical thinking, problem-solving abilities, and effective communication skills help researchers excel and collaborate within interdisciplinary teams. These skills enable researchers to drive innovative discoveries, communicate findings clearly, and contribute impactful solutions to complex data-driven problems.

What is the difference between Data Science Phd Research vs Data Analyst?

AspectData Science Phd ResearchData Analyst
Required CredentialsPhD in Data Science, Statistics, or related fieldBachelor's or Master's in related fields
Work EnvironmentAcademic, research institutions, or R&D departmentsBusiness, corporate, or consulting firms
Employer & Industry UsagePrimarily academia, research labs, or specialized R&D teamsBusiness analytics, marketing, finance, and operations

Data Science Phd Research involves advanced research, theoretical development, and academic publishing, often in academic or research settings. In contrast, Data Analysts focus on interpreting existing data to generate actionable insights for businesses. While both roles require strong analytical skills, the PhD research role emphasizes deep theoretical knowledge and experimentation, whereas Data Analysts prioritize practical data handling and reporting.

What are some common challenges faced by Data Science PhD researchers when collaborating with interdisciplinary teams?

Data Science PhD researchers often work with teams from diverse fields such as engineering, medicine, or social sciences. A common challenge is bridging the gap between technical concepts and domain-specific knowledge, which requires strong communication skills and adaptability. Additionally, aligning research goals and expectations across disciplines can be complex, as each field may have different methodologies and success metrics. Overcoming these challenges helps foster innovative solutions and broadens the impact of your research.
Infographic showing various Data Science Phd Research job openings in the United States as of June 2026, with employment types broken down into 9% Internship, 64% Full Time, 18% Part Time, and 9% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

2026 Intern, PhD Research Scientist

Waabi

San Francisco, CA

$60/hr

Other

Posted 7 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...
- Be part of a team of multidisciplinary Research Scientists and Engineers using an AI-first approach to enable safe self-driving at scale.
- Lead or Contribute to an AI research project, pushing the frontiers of the field by developing new algorithms for Autonomous Vehicle (AV). This includes topics such as perception, prediction, motion planning, controls, simulation, mapping, localization, core AI, etc.
- Design, implement, train, and optimize novel algorithms on self-driving vehicles and various production systems. 
- Be encouraged to submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company blog.
 
Qualifications:
- Pursuing PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study.
- Demonstrated research/software engineering experience: through previous internships, work experience, coding competitions, and/or research projects and papers.
- At least one publication in top Machine Learning, Computer Vision, or Robotics conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python and/or C++..
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
 
Application Instructions:
- To be considered for an internship/co-op, please add your most up to date academic transcripts alongside with your resume for further review.
The US hourly range for this role is: $60 USD and the Canada hourly range for this role is: $60-$65 CAD in addition to competitive perks & benefits. Waabi US Inc. and Waabi Canada Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US and Canada locations. 

Perks/Benefits:
Waabi provides a competitive benefits package that includes:
- Daily drinks, snacks and catered meals (when in office)
- Regularly scheduled team building activities and social events
- As we grow, this list continues to evolve! 

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!

Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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