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Phd Data Scientist Jobs in Chicago, IL (NOW HIRING)

PhD Data Scientist, Intern

Chicago, IL · On-site

$143K - $156K/yr

PhD Data Scientist, Intern Stripe is a financial infrastructure platform for businesses. Millions of companies--from the world's largest enterprises to the most ambitious startups--use Stripe to ...

New

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 ...

... PHd with 3 year experience Required Skills : AWS Cloud Formation,Data Analysis,Business Intelligence,API,SQL Additional Skills : AWS Engineer,Data Scientist,Big Data

Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics ... Mandatory skills Data Science PySpark Azure DataFactory Azure Databricks Secondary skills: Asset ...

Masters, or PhD in a technical or quantitative discipline (e.g., statistics, mathematics, physics ... Mandatory skills Data Science PySpark Azure DataFactory Azure Databricks Secondary skills: Asset ...

... 2-3 (PhD), or 5 years (MSc)What is a nice to have (but not required) regarding skills ... of-art Phenomics Data Science initiatives using large-scale real-world dataWhat positions ...

Pursuing or holding a Master's or PhD in Data Science, Statistics, Computer Science, or a quantitative field with a strong emphasis on data analysis * Solid foundational knowledge across core areas ...

Data Science Individual Contributor We are seeking an experienced data science individual ... PhD degree in Statistics, Economics, Operations Research, or related field * Experienced in ...

Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline. * Demonstrated success delivering end-to-end data science solutions in ...

Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline. * Demonstrated success delivering end-to-end data science solutions in ...

Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Engineering, or a related quantitative discipline. * Demonstrated success delivering end-to-end data science solutions in ...

Senior Data Scientist

Chicago, IL

$110.72K - $166.08K/yr

Master's/PhD in Statistics, Data Science, Applied Math, Computer Science, Actuarial Science, or related field. Strong Python and SQL skills; experience with Git and cloud ML environments. Ability to ...

We are seeking an experienced data science individual contributor to enable deep insights and ... PhD degree in Statistics, Economics, Operations Research, or related field • Experienced in ...

Data Scientist (38948)

Algonquin, IL · Hybrid

$120K - $140K/yr

Masters, MBA and/or PhD a plus * 3+ years of professional experience in data science, analytics, or machine learning roles * Hands-on experience working with and implementing Large Language Models ...

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Phd Data Scientist information

See Chicago, IL salary details

$47.4K

$170K

$250.8K

How much do phd data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for phd data scientist in Chicago, IL is $169,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $175,100.00 per year, depending on experience, location, and employer.

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

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD Data Scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What are PhD Data Scientists?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What job categories do people searching Phd Data Scientist jobs in Chicago, IL look for? The top searched job categories for Phd Data Scientist jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Phd Data Scientist jobs? Cities near Chicago, IL with the most Phd Data Scientist job openings:
Infographic showing various Phd Data Scientist job openings in Chicago, IL as of May 2026, with employment types broken down into 81% Full Time, 13% Temporary, and 6% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $169,993 per year, or $81.7 per hour.
PhD Data Scientist, Intern

PhD Data Scientist, Intern

Stripe

Chicago, IL • On-site

$143K - $156K/yr

Other

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

PhD Data Scientist, Intern

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background.

Our internship program provides the opportunity to work on meaningful business initiatives that will grow the GDP of the internet. Through the internship, you will work with many systems and technologies, gain experience in working with large datasets and analytical methodologies/tools to help us better understand our users and build better products.

Each intern has a dedicated mentor, and every intern project is part of the team's roadmap that will directly contribute to Stripe's mission. As you collaborate with industry experts on initiatives that expand global commerce, you will develop a strong first-hand understanding of the role analytics plays in steering business strategy and results.

We're not just focused on your immediate contributions; we're invested in your growth. Stripe sees this internship as an opportunity to grow your technical expertise and facilitate personal development, preparing you for a career in the tech industry.

You will:

  • Partner closely with Data Scientists, Data Analysts, and business partners to drive business impact through rigorous analytical solutions
  • Apply machine learning, causal inference, or advanced analytics on large datasets to: i) measure results and outcomes, ii) identify causal impact and attribution, iii) predict the future performance of users or products, to drive business success
  • Influence business actions and strategy by developing actionable insights through metrics and dashboards.
  • Drive the collection of new data and the refinement of existing data sources.
  • Learn quickly by asking great questions, finding how to work with your mentor and teammates effectively, and communicating the status of your work clearly
  • Present your work to the Data Science team, partner teams, and fellow interns

We're looking for someone who has:

  • Enrolled in a quantitative PhD program (e.g. Data Science, Statistics, Economics, Mathematics, etc.) with the expectation of graduating in winter 2026 or spring/summer 2027
  • Experience with a scientific computing language (such as Python, R, etc) and SQL. We believe new programming languages can be learned if the fundamentals and general knowledge are present!
  • Knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
  • Experience communicating and collaborating with multidisciplinary stakeholders in a team environment

You also likely have:

  • Experience writing and debugging data pipelines
  • Demonstrated ability to evaluate and receive feedback from mentors, peers, and stakeholders via experience from previous internships or other multi-person projects
  • Ability to learn new systems and form an understanding of those systems, through independent research and working with a mentor and subject matter experts

The annual US base salary range for this role is $143,000 - $156,000. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Office locations: Chicago, New York, South San Francisco HQ, or Seattle