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Phd Statistics Internship Jobs (NOW HIRING)

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... learning, computer vision, statistics, causal inference, and other related disciplines

MS degree with relevant internship, research, or academic project experience, or PhD with relevant ... Experience designing, running, and interpreting DOEs or statistical experiments in academic ...

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Phd Statistics Internship information

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$9

$17

$23

How much do phd statistics internship jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for phd statistics internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects or research topics do PhD Statistics Interns typically work on during their internship?

PhD Statistics Interns are often assigned to projects that involve analyzing large datasets, developing or improving statistical models, and providing insights for data-driven decision-making. These projects can span a range of industries, including healthcare, finance, technology, or public policy, and may address real-world problems such as predictive modeling, experimental design, or survey analysis. Interns typically work closely with senior statisticians and cross-functional teams, allowing for hands-on experience and professional mentoring. The variety of projects helps interns build practical skills and expand their expertise, often contributing to publishable research or product development.

What are the key skills and qualifications needed to thrive in the Phd Statistics Internship position, and why are they important?

To thrive as a PhD Statistics Intern, you need advanced training in statistical theory, data analysis, and research methodology, typically evidenced by ongoing doctoral studies in statistics or a related field. Familiarity with statistical software such as R, Python, SAS, or MATLAB, and experience with data visualization and database management platforms, are important technical assets. Strong analytical thinking, attention to detail, effective communication skills, and the ability to collaborate within multidisciplinary teams are important soft skills. These competencies are essential for effectively analyzing complex data, generating insights, and contributing to impactful research projects in a professional setting.

What is a PhD Statistics Internship job?

A PhD Statistics Internship is a temporary, research-focused position designed for doctoral students specializing in statistics or related fields. Interns work on data analysis, machine learning, or statistical modeling projects, often collaborating with researchers and industry professionals. These internships provide hands-on experience applying statistical methods to real-world problems, enhancing both technical and analytical skills. They can be in academia, government, or industry settings, such as technology, healthcare, or finance.

More about Phd Statistics Internship jobs
What cities are hiring for Phd Statistics Internship jobs? Cities with the most Phd Statistics Internship job openings:
What are the most commonly searched types of Phd Statistics jobs? The most popular types of Phd Statistics jobs are:
What states have the most Phd Statistics Internship jobs? States with the most job openings for Phd Statistics Internship jobs include:
Infographic showing various Phd Statistics Internship job openings in the United States as of July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.
Data Scientist, Core Data - PhD (2026)

Data Scientist, Core Data - PhD (2026)

Figma

New York, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Job description

Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma's platform helps teams bring ideas to life-whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We're looking for a research-minded Data Scientist to join the Core Data team. This team is a group of analytics professionals and Engineers building the foundational platforms for data science at Figma. We build the experimentation, analytics, and AI tooling that every product team relies on to make confident, data-driven decisions, partnering closely with Data Infra, ML, and Applied Science to evolve our platforms and embed AI into the daily workflows of data scientists across the company.
This role is for someone who thrives at the intersection of rigorous research and real-world impact. You'll bring PhD-level depth to problems that matter. This includes advancing our experimentation platform and developing machine learning-based analytical systems. You will also help craft how we measure AI-powered features through causal inference and statistical modeling.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
  • Partner across teams to define and track important metrics, develop experiments, and uncover insights that inform strategic decisions
  • Accelerate Figma's experimentation platform and methodology, including A/B testing frameworks and causal inference techniques
  • Construct models and analytical frameworks based on machine learning to support product, platform, and business initiatives
  • Create tools, datasets, and systems that enable others to work with data more efficiently and rigorously
  • Complete and own complex data projects end-to-end, from problem prioritisation to solution delivery
  • Drive data quality, accessibility, and the democratization of data across the organization

We'd love to hear from you if you have:
  • PhD in a quantitative field (Statistics, Computer Science, Economics, Operations Research, Physics, or related) with a strong foundation in statistical methods, experimentation, and/or machine learning
  • Fluency in SQL and proficiency in a scripting language like Python or R, with exposure to distributed data systems (e.g. Snowflake) through research or internships
  • Ability to communicate technical concepts clearly to both technical and non-technical audiences
  • A curious and rigorous mindset, with a passion for translating research into real-world impact

While it's not required, it's an added plus if you also have:
  • Publications or research experience in experimentation or applied ML; industry internship experience applying data science to product or business problems
  • An AI-native mindset, with exposure to or interest in LLM analytics, AI product measurement, or evaluating the impact of AI-powered features
  • A self-starter attitude and the ability to thrive in ambiguous and fast-paced environments

At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
If based in Figma's San Francisco or New York hub offices, this role has the annual base salary range stated below.
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. The listed range is a guideline, and the range for this role may be modified. For roles that are available to be filled remotely, the pay range is localized according to employee work location by a factor of between 80% and 100% of range. Please discuss your specific work location with your recruiter for more information.
Figma offers equity to employees, as well a competitive package of additional benefits, including health, dental & vision, retirement with company contribution, parental leave & reproductive or family planning support, mental health & wellness benefits, generous PTO, company recharge days, a learning & development stipend, a work from home stipend, and cell phone reimbursement. Figma also offers sales incentive pay for most sales roles and an annual bonus plan for eligible non-sales roles. Figma's compensation and benefits are subject to change and may be modified in the future.
Annual Base Salary Range:
$170,000-$178,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
  • Holding interviews in an accessible location
  • Enabling closed captioning on video conferencing
  • Ensuring all written communication be compatible with screen readers
  • Changing the mode or format of interviews

To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.