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Manager Causal Inference Jobs in Washington (NOW HIRING)

As Manager I, Data Science, you will work with a team of analysts, data scientists, and engineers ... Experience with experimental design and causal inference * Familiarity with Git for version control ...

Continuing education in econometrics, causal inference, or data visualization tools strongly ... Management and Engineering, Law Enforcement and Emergency Response Training, Technical, Analytica ...

Data Evaluator/Analyst

Washington, DC · On-site

$100K - $110K/yr

Continuing education in econometrics, causal inference, or data visualization tools strongly ... Management and Engineering, Law Enforcement and Emergency Response Training, Technical, Analytica ...

Demonstrated experience in managing large datasets and conducting advanced data analyses ... Familiarity with experimental design and causal inference methodologies. Familiarity with or ...

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Manager Causal Inference information

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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Senior Manager, Marketing Mix Modeling Analytics

Senior Manager, Marketing Mix Modeling Analytics

Marriott

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 days ago


Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,146 frontline employees who took The Breakroom Quiz

50th of 105 rated hotels


Job description

The Senior Manager, Marketing Measurement Analytics (MMM) is a key contributor within Marriott's Enterprise Data, Analytics & AI organization, responsible for delivering insights that optimize marketing performance and inform strategic decision-making. This role focuses on analytics initiatives like marketing mix modeling, attribution, incrementality testing, and ROI analysis-enabling strategic data-driven decisions that improve engagement and maximize return on investment.

Working closely with marketing leaders and cross-functional teams, the Senior Manager conducts targeted analyses, interprets complex data, and translates findings into clear, actionable recommendations. By leveraging curated data assets and advanced analytics techniques, this position ensures marketing strategies are grounded in robust insights and aligned with enterprise priorities. The Senior Manager combines strong analytical expertise with business acumen and exceptional communication skills to influence decisions and drive measurable impact-helping Marriott maximize marketing performance and return on investment.

Requirements & Qualifications
  • Bachelor's degree in Business, Analytics, Statistics, or related field; advanced degree a plus.
  • At least 5 years of experience in advanced analytics preferred.
  • Robust understanding of causal inference methodologies (i.e. RCT, differences in differences, instrumental variables)
  • Hands-on knowledge of running incrementality studies (geo-based and audience-based hold-outs, synthetic controls)
  • Strong familiarity with MMM validation techniques (in-market and out-of-sample model validations)
  • Strong understanding of full-funnel marketing and media channels (digital, TV, retail media, paid social, search), as well as relevant measurement frameworks
  • Ability to translate insights into strategic recommendations for business leaders.
Key Duties & Responsibilities
  • Partner with an external vendor and internal marketing teams to deliver Marketing Mix Modeling (MMM) insights. 
  • Translate complex analytical findings into clear, compelling narratives and strategic recommendations tailored for senior leadership.
  • Design and apply causal inference methodologies (e.g., randomized controlled trials, differences in differences, synthetic controls, instrumental variables) to isolate incremental impact and inform decision-making.
  • Partner with data engineering, data science, and visualization teams to ensure analytics are supported by reliable, well-structured, and accessible data assets. 
  • Stay current on industry best practices and emerging trends in marketing measurement, experimentation, and advanced analytics. 
  • Manage multiple projects simultaneously and prioritize based on business impact.
  • Support development of KPI frameworks and measurement methodologies.

At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated.Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. 

All positions offer a 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts.  Benefits are subject to terms and conditions, which may include rules regarding eligibility, enrollment, waiting period, contribution, benefit limits, election changes, benefit exclusions, and others. Click here to learn more.

Full-time positions also offer coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave and educational assistance. 

Washington Applicants Only: Employees will accrue paid sick leave, 0.077 PTO balance for every hour worked and be eligible to receive a minimum of 9 holidays annually.

Marriott HQ is committed to a hybrid work environment that enables associates to Be connected.  Headquarters-based positions are considered hybrid, for candidates within a commuting distance to Bethesda, MD; candidates outside of commuting distance to Bethesda, MD will be considered for Remote positions.

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