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Manager Causal Inference Jobs in Boston, MA (NOW HIRING)

PhaseV

Biostatistics Researcher

Cambridge, MA · On-site

... causal inference, machine learning for modern clinical trial design and biopharmaceutical ... Experience with leading and managing projects is preferred * Qualified candidates must be legally ...

PhaseV

Biostatistics Researcher

Cambridge, MA · On-site

... causal inference, machine learning for modern clinical trial design and biopharmaceutical ... Experience with leading and managing projects is preferred * Qualified candidates must be legally ...

Chewy

Data Scientist III

Boston, MA · On-site +1

$141K - $225K/yr

Build out and operationalize causal inference models to calculate annualized incremental lift ... Exempt salary team members have unlimited PTO, subject to manager approval. Team members will ...

Harvard Kennedy School

Research Assistant

Cambridge, MA · On-site

$21.25 - $29.25/hr

Responsibilities : • Analyze, manage, clean, and create datasets • Conduct statistical analyses ... causal inference methods - randomized controlled trials, difference-in-differences, regression ...

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Manager Causal Inference information

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$31.5K

$113.6K

$128.2K

How much do manager causal inference jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager causal inference in Boston, MA is $113,611.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,800.00 and $126,600.00 per year, depending on experience, location, and employer.

How does a Manager of Causal Inference typically collaborate with cross-functional teams to drive impactful business insights?

Managers of Causal Inference frequently work alongside data scientists, product managers, engineers, and business leaders to design and execute experiments that reveal the true impact of business decisions. They translate complex statistical findings into actionable recommendations, ensuring stakeholders understand both the methodology and implications. Regularly, they lead discussions on experiment design, data collection strategies, and result interpretation, fostering a culture of evidence-based decision-making across the organization.

What does a Manager Causal Inference do?

A Manager Causal Inference leads teams that analyze data to determine cause-and-effect relationships, often in business, healthcare, or technology settings. They design experiments or use statistical methods to understand how different factors influence outcomes, helping organizations make data-driven decisions. This role typically involves managing projects, overseeing analysts or data scientists, and communicating findings to stakeholders. Strong expertise in statistics, data analysis, and leadership is essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager of Causal Inference, and why are they important?

To thrive as a Manager of Causal Inference, you need a deep understanding of statistics, econometrics, and experimental design, typically supported by an advanced degree in a quantitative field. Proficiency with data analysis tools such as R, Python, SQL, and specialized causal inference libraries, along with experience using data visualization and project management platforms, is crucial. Strong leadership, communication, and critical thinking skills help you effectively guide teams and translate complex findings to stakeholders. These skills ensure rigorous, actionable insights that drive strategic decision-making and organizational impact.
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Manager Causal Inference jobs near you

Principal Product Manager - Agentic Media Measurement

Newton Research

Boston, MA

$180K - $230K/yr

Other

Posted 17 days ago

Job description

Principal Product Manager - Agentic Media MeasurementCompany Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms. We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge. Our products generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

About the Role

As Principal Product Manager - Agentic Media Measurement, you will own the strategy, roadmap, and execution of Newton's measurement and insights platform-the analytical engine that proves media works and tells brands where to invest next. Your work will sit at the intersection of causal inference, Bayesian modeling, and modern AI, turning complex marketing science into products that deliver clear, defensible answers to the questions CMOs and media teams ask every day.

You will lead the product direction for Newton's Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and cross-channel measurement capabilities, working hand-in-hand with our data science team to translate advanced statistical and causal AI techniques into intuitive, scalable products. You will collaborate directly with brand marketers, agency measurement leads, and senior executives at our customers and partners to deeply understand how measurement drives real media decisions-and where current solutions fall short.

This role is not about shipping dashboards-it's about building the measurement intelligence layer that makes autonomous media optimization possible, from foundational methodology to market-defining product experiences.

What You Will Do
  • Lead the product vision and roadmap for Newton's agentic measurement offerings and models, spanning MMM, MTA, incrementality testing, and cross-channel insights
  • Deeply understand customer measurement workflows through direct discovery, data, and experimentation; translate insights into clear product requirements and hypotheses
  • Partner closely with data science to shape modeling approaches-including Bayesian MMM, causal inference (e.g., PCMCI+), adstock modeling, and incrementality frameworks-ensuring methodological rigor translates into usable, trustworthy products
  • Define how measurement intelligence feeds Newton's agentic capabilities, closing the loop between insights and autonomous media optimization
  • Rapid-prototype new measurement features and insight experiences, demo them to customers weekly, and iterate relentlessly based on quantitative usage data and qualitative feedback
  • Own the end-to-end product lifecycle-from concept to launch to iteration-tracking KPIs, model performance metrics, and usage analytics to inform prioritization
  • Collaborate with marketing, sales, and customer success on positioning, packaging, and GTM plans that differentiate Newton's measurement story and accelerate adoption
  • Lead cross-functional squads, driving crisp execution in an Agile product development lifecycle
  • Stay current on measurement industry evolution-privacy changes, signal loss, walled garden reporting, emerging standards-and translate those shifts into product strategy
What Makes You a Great Fit
  • 5-8 years of hands-on experience in marketing measurement, analytics, or marketing science-including direct work with MMM, MTA, incrementality testing, or media effectiveness methodologies
  • 5+ years of product management experience, with 2+ years building measurement, analytics, or AI/ML products at scale
  • Solid understanding of statistical modeling concepts (Bayesian methods, causal inference, regression, time-series analysis) and the ability to engage credibly with data scientists on methodology choices
  • Experience with multi-channel media environments-understanding how paid search, social, programmatic, CTV, retail media, and offline channels interact in a measurement framework
  • Familiarity with the practical challenges of measurement: data gaps, attribution bias, signal loss from privacy regulations, walled garden limitations, and cross-device reconciliation
  • Strong ability to define, communicate, and execute a product vision across business and technical stakeholders
  • Experience working with agency measurement teams, brand analytics groups, or marketing science consultancies is a strong plus
  • Passion for marketing science, media analytics, and the adtech/martech ecosystem
  • Excellent written and verbal communication skills-you simplify complexity, influence customers, and inspire teams

Salary range: $180,000-$230,000 + equity

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