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Manager Causal Inference Jobs in Washington, DC (NOW HIRING)

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... management, observability, on-call/incident processes (as appropriate), and runbooks. • Hire ...

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... management, observability, on-call/incident processes (as appropriate), and runbooks. • Hire ...

Expertise in one or more of Personalization, Natural Language Processing, Causal Inference, Deep ... Managers also have the flexibility to set higher expectations based on their team's specific needs.

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...

... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...

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Manager Causal Inference information

See Washington, DC salary details

$32.8K

$118.4K

$133.6K

How much do manager causal inference jobs pay per year?

As of Jun 16, 2026, the average yearly pay for manager causal inference in Washington, DC is $118,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,100.00 and $131,900.00 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 the most commonly searched types of Causal Inference jobs in Washington, DC? The most popular types of Causal Inference jobs in Washington, DC are:
What are popular job titles related to Manager Causal Inference jobs in Washington, DC? For Manager Causal Inference jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Washington, DC look for? The top searched job categories for Manager Causal Inference jobs in Washington, DC are:
Senior Manager - Data Scientist - Pricing

Senior Manager - Data Scientist - Pricing

Marriott

Bethesda, MD • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,138 frontline employees who took The Breakroom Quiz

50th of 105 rated hotels


Job description

JOB SUMMARY

Applies advanced computational techniques in the development of business solutions to data-intensive problems in the hospitality industry.  This rewarding position provides a career as part of a team that makes a direct revenue impact on Marriott hotels, globally, by providing tools that facilitate data-driven decision making in the disciplines of pricing, revenue management, sales and reservations.  Works as part of a team that supports computationally-intensive data analysis and modeling efforts, provides pricing and statistical modeling and technical expertise; provides production support for systems deployed at our hotels; performs undirected research on large volumes of data to reach business conclusions and recommendations; contributes complex programming and analysis in revenue management and sales systems; analyzes data and builds innovative models to deliver business solutions; functions as a modeling expert in all phases of the project lifecycle - inception, prototyping, design, testing, rollout and support.  The Predictive Analytics team seeks a flexible candidate with a willingness to learn that brings unique perspectives to enable creative data-driven solutions to the challenges at Marriott.


CANDIDATE PROFILE

Education and Experience
Required:
    Bachelor's degree in rigorous quantitative, technical or scientific subject, including Operations Research, Statistics, Mathematics, Economics, Data science; advanced degree preferred
    5+ years of handson experience in Data science, Pricing Models, Machine learning and Advanced analytics
    At least 1 year of experience leading teams or technical initiatives to design, build, and deploy solutions addressing real business problems
    Deep Expertise in Econometric modeling and related techniques including linear and nonlinear regression, panel data models, fixed and random effects models, instrumental variables
    Experience in leading, developing, and deploying pricing solutions in production environment, including ownership of model lifecycle, scalability, and performance.
    Advanced proficiency in Python (pandas, NumPy, SciPy) and SQL, with a strong understanding of algorithmic efficiency, code quality, and computational complexity.
    Demonstrated ability to lead, mentor, and develop high-performing technical teams, providing guidance on modeling approaches, coding standards, and career growth.
    Strong problem-solving mindset with a natural curiosity for tackling complex, ambiguous, and open-ended business problems.
    Ability to communicate complex mathematical and analytical concepts clearly and persuasively to both technical and non-technical stakeholders, including senior leadership.
    Excellent cross-functional collaboration skills, partnering with product, engineering, and business leaders to drive alignment and execution.
    Solid understanding of relational databases and large-scale data environments.
Preferred:
    Knowledge of Stochastic process, and probability theory
    Expertise in Experiment design and causal inference methods such as difference in differences, matching, regression based causal models, and uplift or incremental impact analysis.
    Experience with Machine learning tools and techniques (e.g. k-nearest neighbors, random forests, ensemble methods, etc.)
    Experience with Modern Data platforms (i.e. Snowflake) and cloud-based analytics ecosystems.
    Experience in developing analytic driven solutions to business problems
    Understands complex, discrete data sets with subtle underlying biases
    Knowledge of linear, mixed integer, non-linear or dynamic programming models and familiarity with optimization software (CPLEX, Gurobi).
    Experience with writing efficient code and an understanding of code complexity
    Readiness and willingness to debug existing codes to identify source of reported application issues

CORE WORK ACTIVITIES

Delivering Technology 
    Provides input on solution structure, tasks, timeline and estimates for revenue management deliverables
    Partners with planning teams to articulate possible solutions to business problems and to develop requirements for new models 
    Formulates methods for measuring the effectiveness of pricing and revenue management activities.
    Prepares detailed specifications for translation of complex business processes into models and prototypes
    Develops and implements efficient, scalable algorithms using appropriate technologies/software/architectures
    Writes software and utility software tools to create and test new models
    Assists the Application Delivery teams in support of operations
    Assists the Application Delivery team in the maintenance of existing models
    Provides work/cost estimates for client requests
    Prepares documentation for client review.
    Conducts reviews, discusses findings, risks and challenges and establishes courses of action

IT Governance
    Follows all defined iT standards and processes and provides input for improvements to the appropriate process owners as needed
    Maintains a proper balance between business and operational risk 
    Follows the defined project management standards and processes

Service Provider Management
To the extent that this role interacts with service providers:
    Validates that Service Providers develop and manage respective aspects of a project plan, including schedules, deliverables, and appropriate metrics.
    Makes short term plans for the team to effectively utilize resources
    Monitors Service Provider outcomes
    Reviews estimates of work effort for client project provided by Service Providers for accuracy
    Facilitates timely resolution of service delivery problems and minimizes the impact to clients

MANAGEMENT COMPETENCIES 
Leadership
    Communication - Conveys information and ideas to others in a convincing and engaging manner through a variety of methods.
    Leading Through Vision and Values - Keeps the organization's vision and values at the forefront of employee decision making and action.
    Managing Change - Initiates and/or manages the change process and energizes it on an ongoing basis, taking steps to remove barriers or accelerate its pace; serves as role model for how to handle change by maintaining composure and performance level under pressure or when experiencing challenges.
    Problem Solving and Decision Making - Identifies and understands issues, problems, and opportunities; obtains and compares information from different sources to draw conclusions, develops and evaluates alternatives and solutions, solves problems, and chooses a course of action.
    Professional Demeanor - Exhibits behavioral styles that convey confidence and command respect from others; makes a good first impression and represents the company in alignment with its values. 
    Strategy Development - Develops business plans by exploring and systematically evaluating opportunities with the greatest potential for producing positive results; ensures successful preparation and execution of business plans through effective planning, organizing, and on-going evaluation processes.
Managing Execution
    Building a Successful Team - Uses an effective interpersonal style to build a cohesive team; inspires and sustains team cohesion and engagement by focusing the team on its mission and importance to the organization.
    Strategy Execution - Ensures successful execution across of business plans designed to maximize customer satisfaction, profitability, and market share through effective planning, organizing, and on-going evaluation processes.
    Driving for Results - Sets high standards of performance for self and/or others; assumes responsibility for work objectives; initiates, focuses, and monitors the efforts of self and/or others toward the accomplishment goals; proactively takes action and goes beyond what is required.
Building Relationships
    Customer Relationships - Develops and sustains relationships based on an understanding of customer/stakeholder needs and actions consistent with the company's service standards.
    Global Mindset - Supports employees and business partners with diverse styles, abilities, motivations, and/or cultural perspectives; utilizes differences to drive innovation, engagement and enhance business results; and ensures employees are given the opportunity to contribute to their full potential.
    Strategic Partnerships - Develops collaborative relationships with fellow employees and business partners by making them feel valued, appreciated, and included; explores partnership opportunities with other people in and outside the organization; influences and leverages corporate and continental shared services and/or discipline leaders (e.g., HR, Sales & Marketing, Finance, Revenue Management) to achieve objectives; maintains effective external relations with government, business and industry in respective countries; performs effectively as a liaison between locations, disciplines, and corporate to ensure needed resources are received and corporate strategies are understood and executed.
Generating Talent and Organizational Capability 
    Developing Others - Supports the development of other's skills and capabilities so that they can fulfill current or future job/role responsibilities more effectively.
    Organizational Capability - Evaluates and adapts the structure of assignments and work processes to best fit the needs and/or support the goals of an organizational unit.
Learning and Applying Professional Expertise
    Continuous Learning - Actively identifies new areas for learning; regularly creates and takes advantage of learning opportunities; uses newly gained knowledge and skill on the job and learns through their application.
    Technical Acumen - Understanding and utilizing professional skills and knowledge in a specific functional area to conduct and manage everyday business operations and generate innovative solutions to approach function-specific work challenges
o    Technical Intelligence: Knowledge and ability to define and apply appropriate technology to enhance business process 
o    Development Methodologies: Knowledge of general stages of SDLC framework and the application tiers within the development space.
o    Information Security: Knowledge of the security considerations relevant within the development space, including industry best practices related to information security
    Business Acumen - Understands and utilizes business information to manage everyday operations and generate innovative solutions to approach business and administrative challenges.
    Basic Competencies - Fundamental competencies required for accomplishing basic work activities. 
o    Basic Computer Skills - Using basic computer hardware and software (e.g., personal computers, word processing software, Internet browsers, etc.).
o    Mathematical Reasoning  - The ability to add, subtract, multiply, or divide quickly, correctly, and in a way that allows one to solve work-related issues.
o    Oral Comprehension - The ability to listen to and understand information and ideas presented through spoken words and sentences.
o    Reading Comprehension - Understanding written sentences and paragraphs in work related documents.
o    Writing - Communicating effectively in writing as appropriate for the needs of the audience.
 

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.
Marriott International is the world's largest hotel company, with more brands, more hotels and more opportunities for associates to grow and succeed. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

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