1

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 ...

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

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 ...

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 ...

PhD in Data Science, Economics, Mathematics, Statistics, Computer Science, or a related field, or equivalent additional experience. * Experience in Internal Audit, Risk Management, Model Risk ...

Graduate degree (Master's or PhD) in Computer Science, Engineering, Statistics, or a related quantitative discipline, or equivalent professional experience * Strong command of Python and core data ...

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... PhD in computational sciences or life sciences * 7+ years of post-academic experience in life ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... The preferred candidate will possess a Master's degree or a PhD in a relevant field such as ...

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 ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

As a Manager, Data Science, you will become a subject matter expert, defining projects and their ... PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field * 7-10+ ...

next page

Showing results 1-20

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 jobs can you get with a PhD in data science?

A PhD in data science qualifies individuals for advanced roles such as data scientist, machine learning engineer, research scientist, and data science consultant. These positions often require strong programming skills in Python or R, experience with big data tools, and the ability to develop complex models and algorithms. Graduates may work in industries like technology, finance, healthcare, or academia, often in research or leadership capacities.

What is the salary of a PhD in data science?

A PhD in data science typically earns between $100,000 and $150,000 annually in the United States, depending on experience, industry, and location. Senior roles or positions in high-demand sectors can offer higher compensation, often exceeding $160,000. Advanced skills in machine learning, statistical analysis, and programming are highly valued in this field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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.

Is doing a PhD in data science worth it?

A PhD in data science can lead to advanced roles in research, academia, or specialized industry positions requiring deep expertise in machine learning, statistical analysis, and programming. It typically involves several years of study and research, which can increase earning potential and job opportunities but also requires significant time and effort investment. The decision depends on career goals and whether advanced research or teaching roles align with your interests.
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 June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
Data Science PhD Intern

Data Science PhD Intern

Docugami

Kirkland, WA

Other

Posted 7 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.