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Causal Inference Jobs in Cambridge, MA (NOW HIRING)

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

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 ...

GlaxoSmithKline

Applied AI Engineer

Cambridge, MA · On-site

Experience with knowledge graph construction, causal inference, or large perturbation models. * Familiarity with single-cell RNA-seq, spatial transcriptomics, CRISPR assay data, or other high ...

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

Senior Research Scientist

Boston, MA · On-site

$110 - $155/hr

Significant hands‑on experience with advanced modeling techniques for longitudinal/time‑series data, such as probabilistic methods, Bayesian inference, and/or causal inference. * Ability to work ...

FocusKPI Inc.

Data Science Intern

Boston, MA · Remote

Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals. * Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy ...

FocusKPI Inc.

Data Science Intern

Boston, MA

Familiarity with A/B testing, causal inference, simulation, sensitivity analysis, or confidence intervals. * Experience with Python libraries such as pandas, NumPy, statsmodels, scikit-learn, SciPy ...

PhaseV

Senior Software Engineer

Boston, MA

$133K - $175K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the ...

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Causal Inference information

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$108.5K

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How much do causal inference jobs pay per year?

As of Sep 2, 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.

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 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 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 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 100% Full Time. Highlights an 100% In-person 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 13 days ago

Job description

At WHOOP, we're on a mission to unlock human performance. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
We're seeking a Senior Manager, Product Analytics to join our Product Analytics team and lead analytical efforts across three critical domains: core product (think: sleep, strain, recovery), hardware product (partnering with technical PMs on device and sensor-level challenges), and algorithms (bridging algorithmic work and product decisions). This role is ideal for someone who thrives as a player-coach: leading and developing a team of analysts while staying deeply hands-on with the work.
We're looking for someone who is fluent in data, driven by product thinking, and energized by working across multiple complex problem spaces simultaneously. Industry background matters less than analytical horsepower, intellectual curiosity, and the ability to translate ambiguous questions into clear, actionable insight. This person should feel comfortable operating at the intersection of product strategy, technical decisions, and analytical rigor - and should bring the range to be credible across all three.
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
  • 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.
  • Experience working across multiple product domains simultaneously is strongly preferred.
  • 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.

This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company's long-term growth and success.
The U.S. base salary range for this full-time position is $170,000 - $200,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate's specific qualifications, expertise, and alignment with the role's requirements.
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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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