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

Senior Director, Data Hub

Boston, MA · On-site

$175K - $190K/yr

... causal inference and quasi-experimental methods, and hands-on experience using and building AI ... Manage and develop the team: an Associate Director (part-time, Shared Services, open), an Associate ...

Senior Backend Developer

Cambridge, MA · On-site

$131K - $171K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... managing containerized applications in production environments. * Last but not least, passion for ...

Senior Backend Developer

Boston, MA

$130K - $170K/yr

Leveraging the power of advanced causal inference and pushing the boundaries of machine learning ... managing containerized applications in production environments. * Last but not least, passion for ...

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Showing results 1-20

Manager Causal Inference information

See Needham, MA salary details

$31.6K

$113.9K

$128.5K

How much do manager causal inference jobs pay per year?

As of Jun 9, 2026, the average yearly pay for manager causal inference in Needham, MA is $113,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,200.00 and $126,900.00 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.
What are popular job titles related to Manager Causal Inference jobs in Needham, MA? For Manager Causal Inference jobs in Needham, MA, the most frequently searched job titles are:
What cities near Needham, MA are hiring for Manager Causal Inference jobs? Cities near Needham, MA with the most Manager Causal Inference job openings:
Principal Data Scientist, Customer Analytics

Principal Data Scientist, Customer Analytics

Cambridge Mobile Telematics

Cambridge, MA • On-site

Full-time

Posted 4 days ago


Job description

Job Summary:
Cambridge Mobile Telematics (CMT) is the world’s largest telematics and AI company for safer mobility, and they are seeking a Principal Data Scientist to lead the Customer Analytics team. This role focuses on developing customer-facing analytics and data science solutions, partnering with various teams to address complex business challenges through advanced statistical and machine learning models.
Responsibilities:
• Serve as a technical lead with a deep understanding of modeling methods from underlying mathematics, to assumptions, tradeoffs, interpretability, and limitations to ensure results are robust and reliable.
• Use independent judgment and discretion to frame ambiguous business and customer problems into well-defined data science problem statements, project plans, modeling approaches, and measurable success metrics
• Develop and implement advanced statistical and machine learning models end-to-end, including data pipelines, feature engineering, model development, validation, deployment, and ongoing monitoring
• Partner with analysts to build reporting dashboards and data products that convert model outputs into clear, actionable insights for internal stakeholders and external clients
• Complete any additional tasks as they arise
Qualifications:
Required:
• Bachelor’s degree or equivalent years of experience and/or certification in a related field
• 7+ years of working experience in data science, machine learning, advanced analytics or AI-focused roles
• Deep foundation in statistics, experimental design, and causal inference, including the ability to explain methodology choices and validate assumptions
• Demonstrated experience deploying and maintaining models or analytical systems in production using CI/CD practices, including monitoring and performance management
• Strong data science language in Python (required) and SQL
Preferred:
• Familiarity with Databricks, MLflow, Spark, or similar modern data/ML platforms
Company:
Cambridge Mobile Telematics develops DriveWell, a complete telematics and behavioral analytics solution to improve safety. Founded in 2010, the company is headquartered in Cambridge, USA, with a team of 201-500 employees. The company is currently Growth Stage.