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

TraceLink, Inc

Senior Data Scientist

Wilmington, MA · On-site

$178K/yr

... manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate ... Apply advanced techniques in causal inference, optimization, stochastic modeling, and predictive ...

Phase V Fulfillment

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 ...

PhaseV

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 ...

PhaseV

Senior Backend Developer

Boston, MA · On-site

$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 ...

Harvard University

Senior Program Manager

Boston, MA

$126K - $126K/yr

... causal inference and data science methodologies. The Senior Program Manager will oversee day-to-day operations, coordinate complex multi-investigator projects, lead pre-and post-award scientific and ...

Harvard University

Senior Program Manager

Boston, MA · On-site

$57/hr

... causal inference and data science methodologies. The Senior Program Manager will oversee day-to-day operations, coordinate complex multi-investigator projects, lead pre-and post-award scientific and ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

Communicate methodologies and results to management, clients, and other non-technical stakeholders ... Experience with causal inference , marketing mix models (MMM) , and multi-touch attribution models ...

FocusKPI Inc.

Data Scientist (MMM)

Boston, MA · On-site

$90K/yr

Communicate methodologies and results to management, clients, and other non-technical stakeholders ... Experience with causal inference , marketing mix models (MMM) , and multi-touch attribution models ...

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Manager Causal Inference information

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$31.6K

$113.9K

$128.5K

How much do manager causal inference jobs pay per year?

As of Jul 5, 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.
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Manager Causal Inference jobs near you
Senior Manager, Data Science & Operation Analytics

Senior Manager, Data Science & Operation Analytics

Xometry

Waltham, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is looking for a Senior Manager, Data Science & Operations Analytics to join our team. You will lead the analytics strategy that enables data-driven decision making across Xometry's AI-powered manufacturing marketplace. Your team will generate insights, develop statistical frameworks, build scalable analytical data assets, and establish experimentation capabilities that improve marketplace performance, operational efficiency, customer experience, and profitability. Working closely with Product, Operations, Sourcing, Pricing, Engineering, and Finance, you will help answer the company's most important business questions through rigorous analysis and scientific experimentation. Your team will focus on identifying opportunities, quantifying impact, measuring outcomes, and providing the analytical foundation that informs product development and operational strategy. This role is ideal for a leader who combines deep analytical expertise with business acumen and enjoys solving complex marketplace problems using statistics, experimentation, and data. Your work will directly influence product roadmaps, quarterly business priorities, go-to-market initiatives, and company-wide decision making, to support our mission to become the "Everything Store" for custom manufacturing. Working at the intersection of technology, manufacturing, and marketplace dynamics, you'll help shape Xometry's future while delivering exceptional value to both buyers and suppliers.
Responsibilities
  • Lead strategic analytics across marketplace performance, customer behavior, sourcing operations, pricing, and business trends.
  • Develop analytical frameworks and AI agents that measure marketplace health across customer acquisition, conversion, supplier engagement, operational efficiency, pricing competitiveness, and margin performance.
  • Translate complex business problems into structured analytical approaches that drive actionable recommendations.
  • Deliver executive-ready insights that influence product roadmap, operational priorities, and investment decisions.
  • Establish best practices for statistical analysis, hypothesis testing, causal inference, and experimental design across Product and Operations initiatives.
  • Partner with Product and Engineering teams to design, measure, and interpret A/B tests and operational experiments.
  • Apply advanced statistical techniques to identify drivers of customer behavior, supplier performance, operational bottlenecks, and marketplace dynamics.
  • Develop measurement methodologies that quantify the business impact of new features, pricing strategies, sourcing initiatives, and operational improvements.
  • Promote analytical rigor by ensuring robust methodologies, reproducible analyses, and appropriate statistical confidence in decision making.
  • Define and build reusable analytical datasets, KPI frameworks, semantic layers, and metrics that enable consistent reporting and self-service analytics.
  • Partner with Data Engineering to improve data quality, governance, instrumentation, and accessibility across critical business domains.
  • Develop scalable dashboards and reporting solutions that provide visibility into marketplace performance and operational health.
  • Standardize business definitions and measurement methodologies across teams to ensure alignment on key performance indicators.
  • Lead forecasting and trend analysis for marketplace demand, supplier capacity, sourcing operations, fulfillment performance, and financial outcomes.
  • Analyze operational performance to identify root causes, emerging risks, and opportunities for process improvement.
  • Support capacity planning through statistical forecasting and scenario analysis.
  • Build analytical tools that enable proactive decision making across Operations, Pricing, and Sourcing teams.
  • Lead, mentor, and develop a high-performing team of data scientists and analytics professionals.
  • Foster a culture of analytical excellence, intellectual curiosity, and evidence-based decision making.
  • Establish best practices for analytics development, code quality, documentation, peer review, and knowledge sharing.

Qualifications
  • 7-10 years of experience in Data Science, Analytics, Statistics, Economics, Operations Research, or a related quantitative field.
  • Strong foundation in statistical inference, experimental design, causal analysis, forecasting, and quantitative modeling.
  • Demonstrated experience designing and analyzing A/B tests, observational studies, and business experiments.
  • Expertise in SQL and Python (Pandas, NumPy, SciPy, Statsmodels) for data analysis and statistical computing.
  • Experience building analytical datasets, KPI frameworks, semantic models, and scalable reporting solutions.
  • Strong understanding of business intelligence, data visualization, and storytelling using tools such as Tableau, Looker, or Power BI.
  • Experience working with large-scale transactional datasets in marketplace, technology, manufacturing, supply chain, or e-commerce environments.
  • Ability to communicate complex statistical concepts to technical and non-technical stakeholders and influence decisions through data.
  • Experience managing and developing analytics or data science teams in a cross-functional environment.
  • Master's degree in Statistics, Economics, Operations Research, Data Science, Computer Science, Engineering, Mathematics, or a related quantitative discipline preferred.
  • MBA or consulting experience is a plus.

The estimated base salary range for new hires into this role is $170,000 - $185,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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About Xometry

Sourced by ZipRecruiter

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.

Industry

Software development

Company size

501 - 1,000 Employees

Headquarters location

Gaithersburg, MD, US

Year founded

2013

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