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Causal Inference Jobs in New York (NOW HIRING)

You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches) and have informed opinions about what actually works. * Energized by building something new. You'd ...

Data Scientist

New York, NY · On-site

$157K - $212K/yr

Apply causal inference methods where experimentation isn't feasible * Develop models and analyses that inform pricing, segmentation, and revenue optimization * Design, run, and analyze A/B ...

Data Scientist, GTM

Manhattan, NY · On-site

$275 - $370/hr

Develop hypotheses and apply rigorous causal inference methods--controlled experiments, synthetic controls--to make clear, actionable recommendations * Investigate anomalies, conduct root cause ...

Develop hypotheses and apply rigorous causal inference methods - controlled experiments, synthetic controls - to make clear, actionable recommendations * Investigate anomalies, conduct root cause ...

Showing results 41-60

Causal Inference information

Is causal inference still relevant?

Causal inference is a vital skill for data analysts and researchers, as it helps determine cause-and-effect relationships in data. It remains highly relevant across industries such as healthcare, economics, and technology, especially with the increasing availability of large datasets and advanced statistical tools like R and Python. Professionals in this field are in demand for designing experiments, analyzing observational data, and informing decision-making processes.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What jobs use causal inference?

Causal inference is used in various roles such as data scientist, epidemiologist, econometrician, and policy analyst. These jobs involve analyzing data to determine cause-and-effect relationships, often using statistical tools and programming languages like R or Python. Professionals in these fields work in industries like healthcare, finance, government, and technology to inform decision-making and policy development.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What are the most commonly searched types of Causal Inference jobs in New York?

The most popular types of Causal Inference jobs in New York are:

What are popular job titles related to Causal Inference jobs in New York?

For Causal Inference jobs in New York, the most frequently searched job titles are:

What job categories do people searching Causal Inference jobs in New York look for?

The top searched job categories for Causal Inference jobs in New York are:

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

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

Infographic showing various Causal Inference job openings in New York as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 70% Physical, 3% Hybrid, and 27% Remote job distribution.

Director, Marketing Data Science

Zocdoc

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Our Mission
Healthcare should work for patients, but it doesn't. In their time of need, they call down outdated insurance directories. Then wait on hold. Then wait weeks for the privilege of a visit. Then wait in a room solely designed for waiting. Then wait for a surprise bill. In any other consumer industry, the companies delivering such a poor customer experience would not survive. But in healthcare, patients lack market power. Which means they are expected to accept the unacceptable.
Zocdoc's mission is to give power to the patient. To do that, we've built the leading healthcare marketplace that makes it easy to find and book in-person or virtual care in all 50 states, across +200 specialties and +12k insurance plans. By giving patients the ability to see and choose, we give them power. In doing so, we can make healthcare work like every other consumer sector, where businesses compete for customers, not the other way around. In time, this will drive quality up and prices down.
We're 18 years old and the leader in our space, but we are still just getting started. If you like solving important, complex problems alongside deeply thoughtful, driven, and collaborative teammates, read on.
Your Impact on our Mission
Zocdoc's most important asset is our people. As Director, Marketing Data Science, you'll own the measurement strategy that determines how Zocdoc invests in reaching patients and providers. Your work will directly shape how we allocate marketing resources across B2C patient acquisition, B2B provider marketing, lifecycle, and brand - ensuring every dollar drives measurable impact on our mission to give power to the patient.
This is a greenfield opportunity. You'll define what a rigorous, unified marketing measurement function looks like at Zocdoc - then build it.
You'll enjoy this role if you are...
  • Personally motivated by solving hard measurement problems where the right answer requires building new methods, not just applying existing ones.
  • The kind of data scientist who builds models, not just reviews them. You want to be hands-on with MMM, MTA, and incrementality testing - not managing from a distance.
  • Genuinely curious about the frontier of marketing measurement. You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches) and have informed opinions about what actually works.
  • Energized by building something new. You'd rather define what "good" looks like for a measurement function than optimize an already-mature one.
  • Comfortable partnering directly with senior marketing leaders and translating complex statistical concepts into investment decisions they can act on.
  • Excited about working with cutting-edge GenAI tools and technology to accelerate analytical workflows.
  • Serious about your work, but not about yourself. Let's face it - the way things are going, you kind of need a sense of humor.

Your day to day is...
  • Full ownership of Zocdoc's marketing measurement strategy: attribution, incrementality, and ROI measurement across all channels and business lines (B2C and B2B).
  • Hands-on development of the team's most complex analytical work: media mix modeling, multi-touch attribution, incrementality and lift testing, LTV modeling, and brand measurement.
  • Partnering with the CMO and marketing leaders to translate strategy into analytical frameworks and surface insights that change investment decisions.
  • Building deep understanding of Zocdoc's patient and provider audiences to inform segmentation and targeting strategy across B2C and B2B.
  • Managing and developing a team of Staff+ data scientists and junior managers, providing technical direction and career development.
  • Designing and executing marketing experimentation programs: geo-based holdout tests, incrementality experiments, and causal inference methods that move decisions from correlation to causation.
  • Standardizing marketing measurement methodology across channels and business lines to produce consistent, defensible results regardless of context.
  • Working with cutting-edge GenAI tools and technology to accelerate measurement workflows and expand team capacity.
  • Collaborating with data science and data platform teams to ensure measurement infrastructure is reliable, well-governed, and integrated.

You'll be successful in this role if you have...
  • An unrelenting desire to build more equitable, inclusive, and diverse workplaces. You view this role as an opportunity to create positive change.
  • 8+ years in data science or quantitative marketing, with at least 3 years focused on marketing measurement (MMM, MTA, incrementality, causal inference applied to marketing problems) at a B2C technology company.
  • A track record of personally building and executing complex measurement models in production - not just overseeing others' work.
  • Deep expertise in the core methods: media mix modeling, multi-touch attribution, incrementality and lift testing, and causal inference at scale.
  • Experience managing or technically leading a small team of data scientists, with demonstrated success developing talent and raising technical standards.
  • Experience partnering with senior marketing leaders (VP+ or C-level) as a trusted analytical advisor, translating statistical findings into investment recommendations they act on.
  • Familiarity with the evolving measurement landscape: privacy-driven signal loss, walled garden limitations, and emerging attribution approaches.
  • The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity.
  • Strong communication skills - you present results in terms of investment decisions, not statistical abstractions.
  • The mentality of an entrepreneur/owner and a strong bias to action.
  • Humility. You believe in treating all people with dignity and respect, regardless of title or tenure.
  • B2B marketing measurement experience is a strong plus, but not required.

A Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, Machine Learning, Artificial Intelligence, Economics, Physics, or a related field is required. A Master's degree or PhD in a quantitative field is a plus.
Benefits
NYC Hybrid
  • Flexible, hybrid work environment at our convenient Soho location
  • Unlimited Vacation (if salaried) / Competitive PTO (if hourly)
  • 100% paid employee health benefit options (including medical, dental, and vision)
  • Commuter Benefits
  • 401(k) with employer funded match
  • Corporate wellness program with Wellhub
  • Sabbatical leave (for employees with 5+ years of service)
  • Competitive paid parental leave and fertility/family planning reimbursement
  • Cell phone reimbursement
  • Catered lunch every day along with beverages and snacks
  • Employee Resource Groups and ZocClubs to promote shared community and belonging
  • Great Place to Work Certified

Remote
  • Flexible work environment
  • Unlimited Vacation (if salaried) / Competitive PTO (if hourly)
  • 100% paid employee health benefit options (including medical, dental, and vision)
  • 401(k) with employer funded match
  • Corporate wellness program with Wellhub
  • Sabbatical leave (for employees with 5+ years of service)
  • Competitive paid parental leave and fertility/family planning reimbursement
  • Cell phone reimbursement
  • Employee Resource Groups and ZocClubs to promote shared community and belonging
  • Great Place to Work Certified

Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate's experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity; your recruiter will discuss the full compensation package details.
NYC Base Salary Range
$220,000-$300,000 USD
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data. Base salary offered is determined by a number of factors including the candidate's experience, qualifications, and skills. Certain positions are also eligible for variable pay and/or equity.
Remote Base Salary Range
$220,000-$300,000 USD
Zocdoc is committed to fair and equitable compensation practices. Salary ranges are determined through alignment with market data and internal equity. The base salary offered will depend on experience, skills, qualifications, and business needs. Certain positions are also eligible for variable pay and/or equity.
Silicon Valley, CA Base Salary Range
$220,000-$300,000 USD
About usZocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish.
Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone, we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences and contributors make our community and our platform better. We're an equal opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.
Job Applicant Privacy Notice

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About ZocDoc

Sourced by ZipRecruiter

Zocdoc is the country's leading digital health marketplace that helps patients easily find and book the care they need. Each month, millions of patients use our free service to find nearby, in-network providers, compare choices based on verified patient reviews, and instantly book in-person or video visits online. Providers participate in Zocdoc's Marketplace to reach new patients to grow their practice, fill their last-minute openings, and deliver a better healthcare experience. Founded in 2007 with a mission to give power to the patient, our work each day in pursuit of that mission is guided by our six core values. Zocdoc is a private company backed by some of the world's leading investors, and we believe we're still only scratching the surface of what we plan to accomplish. Zocdoc is a mission-driven organization dedicated to building teams as diverse as the patients and providers we aim to serve. In the spirit of one of our core values - Together, Not Alone , we are a company that prides itself on being highly collaborative, and we believe that diverse perspectives, experiences, and contributors make our community and our platform better. We're an equal-opportunity employer committed to providing employees with a work environment free of discrimination and harassment. Applicants are considered for employment regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity, gender expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or any other class protected by applicable laws.

Industry

Internet websites and web search portals

Company size

501 - 1,000 Employees

Headquarters location

New York, NY, US

Year founded

2007