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Causal Inference Jobs in New York (NOW HIRING)

CookUnity

Senior Manager, Data Science/ML

Manhattan, NY · On-site

... causal inference, generative AI) and their application to product problems • Translate complex product challenges into clear data science problems with measurable success criteria • Own the end ...

Uber

Senior Scientist, Fares

New York, NY · On-site

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy ...

CookUnity

Senior Manager, Data Science/ML

New York, NY · On-site

Develop causal inference methodologies to understand true incrementality of product changes. * Ensure models are observable, explainable where needed, and continuously improved post-launch Product ...

Uber

Scientist II, Fares

New York, NY · On-site

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy ...

LiveRamp

Senior Data Scientist

New York, NY

You'll work at the intersection of causal inference, large-scale data engineering, and product delivery, shipping PySpark measurement logic that runs inside privacy-preserving cleanrooms on LiveRamp.

CookUnity

Senior Manager, Data Science/ML

New York, NY · On-site

Develop causal inference methodologies to understand true incrementality of product changes. * Ensure models are observable, explainable where needed, and continuously improved post-launch Product ...

Uber

Scientist II, Fares

New York, NY · On-site +1

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy ...

Uber

Senior Scientist, Fares

New York, NY · On-site +1

As a Scientist on this team, you will leverage experiment design, exploratory data analysis, causal inference and model development to solve a wide variety of problems in domains like pricing, policy ...

De Circle

Data Scientist - Fun.xyz

New York, NY · On-site

Run experiments, apply causal inference, and drive evidence-based product decisions * Translate complex data into clear stories for both technical and non-technical stakeholders * Proficiency in ...

Ataraxis AI

Research Scientist

New York, NY · On-site

$120K - $210K/yr

Design and implement novel machine learning models and methods for self-supervised learning, survival analysis, multi-modal learning, causal inference and interpretability. * Translate machine ...

Prolific

Data Science Manager

New York, NY · On-site

Set clear expectations for technical quality - rigorous causal inference, well-designed experiments, principled modelling - and coach the team to meet them * Define ways of working, prioritisation ...

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Causal Inference information

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$60.2K

$108.6K

$148.2K

How much do causal inference jobs pay per year?

As of May 28, 2026, the average yearly pay for causal inference in New York is $108,562.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,100.00 and $118,700.00 per year, depending on experience, location, and employer.

What is a Causal Inference job?

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 key skills and qualifications needed to thrive in the Causal Inference position, and why are they important?

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 are some 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.
More about Causal Inference jobs
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:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in New York as of May 2026, with employment types broken down into 1% Internship, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $108,562 per year, or $52.2 per hour.
Staff Data Scientist (Product & Ops)

Staff Data Scientist (Product & Ops)

Charlie Health

New York, NY • Hybrid

$190K - $270K/yr

Other

Posted 26 days ago

Charlie Health rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

About the Role

As a Staff Data Scientist, you'll be seen as a tech lead thought leader across company leaders and across Product, Engineering, Design, Operations, and Clinical teams. You will help the company be rigorous and thoughtful on how to best use data and apply statistical methods. You will bring an experienced perspective among the team to help them polish their thinking and ultimately inform their roadmaps, shape their thinking, and drive outcomes. You will be a highly engaged cross-functional partner that is sought out to solve challenges and will be able to bridge the gap between technical and non-technical stakeholders, upleveling those around you.

We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

Responsibilities

  • Partner with Product, Engineering, Design, Clinical, Operations, and Machine Learning teams to turn ambiguous questions into clear analytical recommendations that influence strategy and decision-making.
  • Build and establish models and analyses using appropriate statistical methods that identify key roadmap items to prioritize across the respective teams.
  • Regularly influence leaders to accept recommendations and define the metrics that matter which will generate concrete and notable impact to the company's mission.
  • Partner closely with Analytics and Data Engineering to define key objectives for the team, design and scale repeatable frameworks, and enable broader self-serve use of existing tools & methods while keeping a high bar when it comes to analytical rigor.
  • Be a causal inference expert with knowledge across several methodologies (e.g. Experimentation, Diff-in-Diff, IV, Propensity Score, etc.) and serve as a key stakeholder in enabling this thinking. 
  • Form and vocalize opinions on how we should do things and gain trust among company leaders as a key partner they should feel empowered to reach out to for brainstorming and new initiatives.
  • Serve as a tech lead for the Data Science org with strong mentorship of peers.  

Requirements

  • 7+ years in data science/analytics roles, at least 3 of those years in a tech lead capacity.
  • Demonstrated ability to navigate an ambiguous data environment, with start-up experience preferred related questions and provide approaches with appropriate statistical rigor to a wide variety of stakeholders. 
  • Experience with modeling that led to clear and concrete adoption of recommendations and demonstrated visible impact
  • Detailed knowledge of causal inference methods including (but not limited to): RCT, Diff-in-Diff, IPW, Propensity Score, Instrumental Variables, Variance Reduction, etc.
  • Experience with leveraging LLMs on text to generate insights and amplify existing work.
  • Strong technical proficiency: SQL, Python or R, modern ELT/ETL, OLAP databases (e.g., Snowflake), dbt, BI tools (e.g., Tableau, Hex), and experience setting up and scaling experimentation programs (A/B tests, causal inference, lift measurement).
  • Excellent ability to communicate, collaborate, and influence business partners at all levels, but especially executives and those at Director+ levels.
  • Bonus: Healthcare Experience, Start-up Experience
  • Passion for mission-driven work in mental health or healthcare settings and a desire to apply your skills to improve outcomes
  • Please note: candidates located within a 75-minute commute of our NYC office are expected to work onsite 4 days/week.
Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $190,000 and $270,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-hybrid

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