1

Phd Causal Inference Jobs in Paterson, NJ (NOW HIRING)

You follow how the field is evolving (privacy changes, signal loss, new causal inference approaches ... A Master's degree or PhD in a quantitative field is a plus. Benefits NYC Hybrid * Flexible, hybrid ...

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

... 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 ...

Research Scientist

Manhattan, NY · On-site

$120 - $210/hr

... causal inference and interpretability. * Translate machine learning and statistics papers into ... PhD degree in machine learning or statistics. * Passion for research, attention to detail and ...

Showing results 21-40

Phd Causal Inference information

See Paterson, NJ salary details

$40.7K

$125.1K

$181.6K

How much do phd causal inference jobs pay per year?

As of Sep 4, 2026, the average yearly pay for phd causal inference in Paterson, NJ is $125,087.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,800.00 and $140,400.00 per year, depending on experience, location, and employer.

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 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 cities near Paterson, NJ are hiring for Phd Causal Inference jobs?

Cities near Paterson, NJ with the most Phd Causal Inference job openings:

Infographic showing various Phd Causal Inference job openings in Paterson, NJ as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, 1% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $125,087 per year, or $60.1 per hour.

Director, Marketing Data Science

Zocdoc

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Own and develop Zocdoc's marketing measurement strategy, including attribution, incrementality, and ROI measurement across all channels and business lines.

  • Perform hands-on development of complex analytical models such as media mix modeling, multi-touch attribution, incrementality testing, and LTV modeling, and translate insights into investment decisions.

  • Partner with marketing leadership to translate strategy into analytical frameworks, surface insights, and inform segmentation and targeting strategies.


Job description

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 logo

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