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Data Science Phd Research Jobs (NOW HIRING)

Docugami

Data Science PhD Intern

Kirkland, WA

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Docugami

Data Science PhD Intern

Kirkland, WA · On-site

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as ... We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site

Master's or PhD in Statistics, Economics, Mathematics, Operations Research, Computer Science, or related quantitative discipline * 10-14+ years of experience in data science, quantitative research ...

Elder Research

Data Scientist (Remote)

... PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted ...

New

Mercor

AI Research Scientist - PhD

San Francisco, CA · Remote

$55 - $80/hr

PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research , Computer Science , Game Development , or Mechanical / Aerospace Engineering . * High attention to ...

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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.
Data Science PhD Intern

Data Science PhD Intern

Docugami

Kirkland, WA

Other

Posted 8 days ago

Job description

Docugami uses powerful artificial intelligence to unlock the information contained in highly varied, unstructured business documents. Business users, without IT or development projects, can immediately create custom analysis of vital document content and information from large batches of contracts, can assist users in creating new documents more efficiently and consistently, and can automatically connect information from within documents to other business systems.

Docugami started with years of R&D, and has received a $10M seed round of VC funding as well as multiple endorsements from industry leaders and publications.  The founders are seasoned ex-Microsoft engineers and leaders, some already well known in the software industry for their record of building and running $1B+ innovative software product businesses.

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking for exceptional researchers to work with our luminary science advisers on major scientific breakthroughs.  

You will love this job if:

  • You love solving really challenging problems
  • You seek opportunities to see your research deployed in practice to solve real world problems
  • You enjoy working at the very cutting edge of R&D
  • You want to experience an early stage startup

What you'll be responsible for:

  • Researching and proposing solutions to the different science problems in an evolving environment
  • Collaborating with engineering and product leadership to prioritize a long-term roadmap of science breakthroughs
  • Working with the engineering team who will be responsible for integrating and deploying your work in production
  • Conducting regular internal science reviews

What we look for in a candidate:

  • Pursuing a PhD in artificial intelligence, natural language processing, machine learning, data science, or math 
  • Experience or strong interest in any of the following: natural language processing, machine translation, self-supervised learning, active learning, computer vision, statistics, causal inference, and other related disciplines 
  • Programming skills and familiarity of modern ML frameworks
  • Strong problem-solving and time management skills
  • Strong communication skills and capacity to report and disseminate results
  • Passion for scientific and technical excellence 

Perks:

  • Competitive pay
  • Healthy snacks stipend
  • Work closely with a cross-functional team of highly motivated folks with a unique range of startup, big enterprise, scientific, engineering, sales & marketing experience
  • Vibrant and inclusive company culture with frequent team-building events

About Us:

Docugami is a Seattle-area document engineering startup that transforms how businesses create and manage documents for greater productivity, compliance, and insight using breakthrough artificial intelligence. Founded in March 2018 by former senior engineering leaders from Microsoft, Docugami harnesses a wide range of artificial intelligence techniques, including natural language processing, image recognition, declarative markup, and other approaches, to enable businesses of all sizes to radically improve how they create and manage documents for greater insight, efficiency, and business impact. 

Learn more at www.docugami.com

We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse team.

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