Establish best practices for statistical analysis, hypothesis testing, causal inference, and ... Experience managing and developing analytics or data science teams in a cross-functional ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and ... Experience managing and developing analytics or data science teams in a cross-functional ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and ... Experience managing and developing analytics or data science teams in a cross-functional ...
Establish best practices for statistical analysis, hypothesis testing, causal inference, and ... Experience managing and developing analytics or data science teams in a cross-functional ...
... line management; technical and therapeutic area training; peer recognition and total rewards ... Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM ...
... line management; technical and therapeutic area training; peer recognition and total rewards ... Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM ...
Act as a recognized professional in a technical or methodological area (e.g., causal inference ... Practical working understanding of data-analytics tools, and direct experience managing, analyzing ...
Act as a recognized professional in a technical or methodological area (e.g., causal inference ... Practical working understanding of data-analytics tools, and direct experience managing, analyzing ...
This is the frontier where causal inference meets modern machine learning, and we need a scientist who can help us push it forward. As a Data Science Manager (DSM), you will lead a team of economists ...
This is the frontier where causal inference meets modern machine learning, and we need a scientist who can help us push it forward. As a Data Science Manager (DSM), you will lead a team of economists ...
Sr Data Scientist with Security Clearance
Washington, DC · On-site
$68.66/hr
... and management strategies for research datasets Build transparent, reproducible pipelines and ... causal inference workstreams, translating questions into testable hypotheses and clear findings ...
Sr Data Scientist with Security Clearance
Washington, DC · On-site
$68.66/hr
... and management strategies for research datasets Build transparent, reproducible pipelines and ... causal inference workstreams, translating questions into testable hypotheses and clear findings ...
... staff, management, and government decision makers. Qualifications You meet our minimum ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
... staff, management, and government decision makers. Qualifications You meet our minimum ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
... staff, management, and government decision makers. Qualifications You meet our minimum ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
... staff, management, and government decision makers. Qualifications You meet our minimum ... causal inference, or hypothesis testing... * Are able to obtain Interim Secret level security ...
Principal Data Scientist
Gaithersburg, MD · On-site +1
$175K - $215K/yr
... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied to life sciences and healthcare text Strong foundation in data engineering and databases Experience ...
Principal Data Scientist
Gaithersburg, MD · On-site +1
$175K - $215K/yr
... Causal inference experience - a significant differentiator for this role NLP/LLM expertise applied to life sciences and healthcare text Strong foundation in data engineering and databases Experience ...
Senior Data Product Manager with Security Clearance
Fairfax, VA · On-site
$125K - $165K/yr
"Everforth ECS is seeking a Senior Data Product Manager to work in the National Capital Region ... causal inference, to support uncertainty-aware analysis, intervention evaluation, and decision ...
Senior Data Product Manager with Security Clearance
Fairfax, VA · On-site
$125K - $165K/yr
"Everforth ECS is seeking a Senior Data Product Manager to work in the National Capital Region ... causal inference, to support uncertainty-aware analysis, intervention evaluation, and decision ...
Senior Engineering Manager, AI/ML
Arlington, VA · On-site
$200K - $250K/yr
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.
Senior Engineering Manager, AI/ML
Arlington, VA · On-site
$200K - $250K/yr
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) and machine learning algorithms (supervised/unsupervised learning, ensemble ... Tools & Lifecycle Management: Expert proficiency with Git, Jira, Confluence, and MLOps principles ...
... causal inference) and machine learning algorithms (supervised/unsupervised learning, ensemble ... Tools & Lifecycle Management: Expert proficiency with Git, Jira, Confluence, and MLOps principles ...
Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of ... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ...
Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of ... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ...
... 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 ...
Director of Data Solutions
Rockville, MD · On-site
... 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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Director of Data Solutions
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...
Director of Data Solutions
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...
Director of Data Solutions
Rockville, MD · On-site
... causal inference/target trial tooling patterns, and integration templates for multiple data sources ... Establish operational excellence: release management, observability, on-call/incident processes (as ...
Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of ... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ...
Manager, Data Scientist - Recommendation & Personalization Systems Data is at the center of ... Causal Inference, Transformer-based architectures, and sophisticated Recommender Systems. Role ...
Director, AI Engineering (Data Science)
Columbia, MD · On-site +1
Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
Director, AI Engineering (Data Science)
Columbia, MD · On-site +1
Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
Experience with experimentation platforms and causal inference techniques. * Strong communication ... Manage Google Analytics implementation, set up events in Google Tag Manager, document tracking ...
Experience with experimentation platforms and causal inference techniques. * Strong communication ... Manage Google Analytics implementation, set up events in Google Tag Manager, document tracking ...
Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online ... CRM, ad telemetry, CDRs, and network KPIs. Client & Executive Engagement * Lead technical ...
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.
What are the most commonly searched types of Causal Inference jobs in Washington? The most popular types of Causal Inference jobs in Washington are:
What are popular job titles related to Manager Causal Inference jobs in Washington? For Manager Causal Inference jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Manager Causal Inference jobs in Washington look for? The top searched job categories for Manager Causal Inference jobs in Washington are:
What cities in Washington are hiring for Manager Causal Inference jobs? Cities in Washington with the most Manager Causal Inference job openings:
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 8 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
Qualifications
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.
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.
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