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Data Science Phd Jobs (NOW HIRING)

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 ...

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 ...

Data Scientist, PhD

Quantico, VA · On-site

$110K - $120K/yr

PhD or recently graduated or soon to be graduated (2025) PhD student with a Data Science focus and/or a background in Natural Language Processing or closely related field. * Active Secret Clearance ...

Director, Data Science

New York, NY · On-site

$120K - $175K/yr

PHD is a global communications planning and media buying agency network delivering smart strategic ... PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ...

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

PHD is a global communications planning and media buying agency network delivering smart strategic ... PHD Data Scientists deliver analytic solutions across a wide variety of client applications and ...

Senior Data Scientist

Beverly Hills, CA · On-site

$160K - $200K/yr

PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred * 5+ years of experience in data science, including experience in DTC, e ...

Data Scientist (PHD Required)

Boston, MA · Hybrid

$125K - $135K/yr

The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing ... data science solutions are relevant and impactful We're looking for someone with: * A PhD in a ...

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

Senior Data Scientist

Beverly Hills, CA · On-site

$160K - $200K/yr

PhD, or M.S. degree in a quantitative discipline such as CS, Statistics, ML, Physics, Economics, or Mathematics preferred * 5+ years of experience in data science, including experience in DTC, e ...

Data Scientist (PHD Required)

Boston, MA · On-site

$125K - $135K/yr

The Science team leads initiatives in audience solutions, traffic shaping, forecasting, pricing ... data science solutions are relevant and impactful We're looking for someone with: * A PhD in a ...

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering ...

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering ...

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering ...

Data Scientist (Data Science) Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Master's or PhD in Computer Science, Machine Learning, Applied Mathematics, Computer Engineering ...

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 ...

Data Scientist (PhD)

New York, NY · On-site

$125K - $135K/yr

Data Scientist New York, NY Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate ... A PhD in a STEM field with a computational focus. (Both physical and social scientists are ...

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Data Science Phd information

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

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
More about Data Science Phd jobs
What cities are hiring for Data Science Phd jobs? Cities with the most Data Science Phd job openings:
What are the most commonly searched types of Data Science Phd jobs? The most popular types of Data Science Phd jobs are:
What states have the most Data Science Phd jobs? States with the most job openings for Data Science Phd jobs include:
Infographic showing various Data Science Phd job openings in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 95% Physical, 3% Hybrid, and 2% Remote job distribution.
Data Science PhD Intern

Data Science PhD Intern

Docugami

Kirkland, WA • On-site

Internship

Posted 17 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.