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Phd Causal Inference Jobs in New York (NOW HIRING)

... causal inference, and wants meaningful ownership over how data drives product decisions at a fast ... PhD or master's degree in a quantitative field such as mathematics, statistics, engineering ...

Develop causal inference methodologies to understand true incrementality of product changes ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Apply methods from machine learning, statistics, causal inference, optimization, and economics to ... PhD in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other ...

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Phd Causal Inference information

What are the key skills and qualifications needed to thrive as a PhD causal inference researcher?

To thrive as a PhD Causal Inference researcher, you need advanced knowledge of statistics, econometrics, and causal modeling, typically supported by a doctoral degree in a quantitative field. Familiarity with statistical programming languages (such as R or Python), specialized software (like STATA or SAS), and experience with experimental or quasi-experimental methods are essential. Strong analytical thinking, attention to detail, and the ability to communicate complex findings clearly make a candidate stand out. These skills ensure rigorous, credible research that can inform policy, product development, or scientific understanding by accurately identifying causal relationships.

What collaborative opportunities can a PhD specializing in causal inference expect within a multidisciplinary research team?

PhD professionals in Causal Inference frequently collaborate with experts from fields such as epidemiology, economics, computer science, and public health. They often work closely with data scientists, subject matter experts, and statisticians to design studies, interpret complex datasets, and develop robust analytical models. This multidisciplinary environment fosters continuous learning and often leads to co-authorship on research publications, participation in grant writing, and involvement in high-impact policy or product decisions. Effective communication and teamwork skills are essential to translate technical findings for diverse audiences and drive actionable insights.

What is a PhD in causal inference?

A PhD in Causal Inference is an advanced research degree focused on understanding and identifying cause-and-effect relationships using statistical and computational methods. Students in this field learn to design studies, analyze data, and develop new methodologies to answer complex causal questions in areas such as social sciences, medicine, economics, and artificial intelligence. Graduates often work in academia, research institutions, or industries where evidence-based decision-making is essential.

What cities in New York are hiring for Phd Causal Inference jobs?

Cities in New York with the most Phd Causal Inference job openings:

Infographic showing various Phd Causal Inference job openings in New York as of August 2026, with employment types broken down into 81% Full Time, 16% Part Time, 1% Temporary, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Data Scientist, Core Data - PhD (2026)

Figma

New York, NY • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 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
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.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer-provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
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.