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Causal Inference Jobs in Cambridge, MA (NOW HIRING)

Constant Contact

Senior Data Analyst

Waltham, MA

$92K - $117K/yr

A/B Experimentation & Inference: Lead the experimentation lifecycle, from power analysis and hypothesis design to post-test causal inference and rollout. Leverage product analytics capabilities to ...

Constant Contact

Senior Data Analyst

Waltham, MA · On-site

$92K - $117K/yr

A/B Experimentation & Inference: Lead the experimentation lifecycle, from power analysis and hypothesis design to post-test causal inference and rollout. Leverage product analytics capabilities to ...

Harvard Kennedy School

Research Assistant

Cambridge, MA · On-site

$21.25 - $29.25/hr

... causal inference methods - randomized controlled trials, difference-in-differences, regression discontinuity, and related approaches is a plus Company : Kennedy School of Government at Harvard ...

Meta

Competitive Intelligence Lead

Boston, MA

$177K/yr

Act as a recognized professional in a technical or methodological area (e.g., causal inference, bayesian aggregation), driving the adoption of advanced methods and organization-wide best practices ...

ALU

ALG Head of Impact

Boston, MA · On-site

Are you equally comfortable discussing RCTs, sampling, confidence intervals, and causal inference as you are working with product, data, fundraising, and executive teams to turn evidence into better ...

Onescreen

Founding Machine Learning Engineer

Boston, MA · On-site

... Causal inference • dbt • Ad-tech or OOH domain familiarity Company : Onescreen is the modern partner for out-of-home advertising. Founded in 2020, the company is headquartered in Boston, USA ...

Whoop

Data Scientist, Product

Boston, MA · On-site

Design and analyze experiments (A/B tests, quasi-experiments, causal inference methods) to measure the impact of product changes on member outcomes. * Build measurement frameworks and KPIs that ...

Whoop

Data Scientist, Product

Boston, MA · On-site

$100 - $150/hr

Design and analyze experiments (A/B tests, quasi-experiments, causal inference methods) to measure the impact of product changes on member outcomes. * Build measurement frameworks and KPIs that ...

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Showing results 21-40

All JobsCausal Inference JobsCausal Inference Jobs in Cambridge, MA

Causal Inference information

See Cambridge, MA salary details

$60.1K

$108.5K

$148.1K

How much do causal inference jobs pay per year?

As of Aug 8, 2026, the average yearly pay for causal inference in Cambridge, MA is $108,457.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,600.00 per year, depending on experience, location, and employer.

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 Cambridge, MA? The most popular types of Causal Inference jobs in Cambridge, MA are:
What are popular job titles related to Causal Inference jobs in Cambridge, MA? For Causal Inference jobs in Cambridge, MA, the most frequently searched job titles are:
What job categories do people searching Causal Inference jobs in Cambridge, MA look for? The top searched job categories for Causal Inference jobs in Cambridge, MA are:
Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Cambridge, MA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $108,457 per year, or $52.1 per hour.

Business Analytics Senior Manager (Product, Core)

WHOOP

Boston, MA • On-site

$137K - $181K/yr

Full-time

Re-posted 18 days ago

Job description

Job Summary:
WHOOP is on a mission to unlock human performance through a deeper understanding of bodies and daily lives. They are seeking a Senior Manager, Product Analytics to lead analytical efforts across core product, hardware product, and algorithms while developing a team of analysts and driving strategic insights.
Responsibilities:
• Partner with Product, Software, Hardware, Algorithms, and UX teams to align on goals, quantify impact, and identify new sources of value for WHOOP members.
• Serve as the primary analytics partner across algorithms, core product, and hardware product workstreams, adapting your approach to the unique needs of each domain.
• Lead, manage, and develop a team of analysts by fostering a culture of high performance, intellectual rigor, and continuous improvement. Invest in career development and raise the analytical bar across the organization.
• Create repeatable tools and processes for analytics at scale, from data pipelines to agentic reporting solutions to weekly performance reviews.
• Generate and drive a strategic analytic roadmap that proactively surfaces insights about member behavior, product performance, and feature adoption.
• Build and refine KPIs across product domains including engagement, retention, feature adoption, and hardware performance metrics.
• Design and oversee experimentation (A/B testing, causal inference) with clear success criteria, and bring rigor to how we measure what's working and what isn't.
• Collaborate machine learning & research teams to evaluate model outputs, challenge assumptions, and ensure algorithmic work translates effectively into the product experience.
• Provide thought leadership to senior stakeholders, delivering action-oriented recommendations that influence product roadmaps and strategic direction.
Qualifications:
Required:
• 8+ years of experience in a deeply strategic/analytical role, including partnership with product and development teams.
• Direct experience leading and developing a team of analysts, including driving large cross-functional projects and mentoring junior team members.
• A true player-coach — able to independently take broad business questions, wrangle appropriate data, isolate and model key insights, visualize results, and communicate actionable recommendations.
• Strong storytelling skills — able to create compelling, concise presentations that convey actionable solutions to complex, ambiguous problems.
• Demonstrated success influencing senior stakeholders and leadership on strategic direction based on analytical recommendations.
• Experience and knowledge running experiments (e.g., A/B testing, causal inference) and working with development teams.
• Comfortable immersing yourself in new contexts — able to engage with technical PMs and data scientists on topics like data quality, device-level analytics, and signal processing tradeoffs enough to be a credible thought partner.
• Advanced skills in SQL and understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization tools (e.g., Looker, Hex, Tableau).
• Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Preferred:
• Experience working across multiple product domains simultaneously is strongly preferred.
Company:
WHOOP provides wearable fitness technology and a subscription platform that tracks physiological data for health and performance insights. Founded in 2012, the company is headquartered in Boston, USA, with a team of 501-1000 employees. The company is currently Late Stage.
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About Whoop

Sourced by ZipRecruiter

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users (Olympians, Professional Athletes, Fitness Enthusiasts, etc) to perform at a higher level through a deeper understanding of their bodies and daily lives.

Industry

Fitness and sports centers

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2012

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