ZipRecruiter

Log In

1

Causal Inference Machine Learning Postdoctoral Jobs in Washington, DC

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build and maintain ML pipelines for training, evaluation, and inference * Integrate machine learning models into real-time and batch processing systems * Optimize model performance for accuracy ...

Aitopics

Featured Feat. Data Scientist

Washington, DC · On-site

$80 - $157/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Monitor AI machine learning biotechnology and national security policy trends Skills * A/B | A/B Testing | B testing | Causal Inference | Data Mining * AWS Batch | Agile | Amazon Athena | Amazon ...

Aitopics

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Causal Inference * Dashboarding * Data Modeling * ETL * Experimentation * Dashboards * Data ... Machine Learning * Bayesian Modeling * Data Processing * Demand forecasting * Data Management

Cmu

Senior Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

Cmu

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

Cmu

Data Scientist

Arlington, VA

Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and ... Causal inference / uplift modeling / synthetic controls * Modern ML frameworks: LightGBM/XGBoost ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement cross-validation and other evaluation methodologies to quantify model performance and reliability during inference. Qualifications The Machine Learning Engineer selected should have the ...

Lynker Corporation

Machine Learning Engineer

College Park, MD · On-site

$95K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement cross-validation and other evaluation methodologies to quantify model performance and reliability during inference. The Machine Learning Engineer selected should have the following:

previous pagenext page

Showing results 21-40

All JobsCausal Inference Machine Learning Postdoctoral JobsCausal Inference Machine Learning Postdoctoral Jobs in Washington, DC

Causal Inference Machine Learning Postdoctoral information

See Washington, DC salary details

$40.2K

$61.4K

$69.1K

How much do causal inference machine learning postdoctoral jobs pay per year?

As of Aug 20, 2026, the average yearly pay for causal inference machine learning postdoctoral in Washington, DC is $61,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $64,000.00 per year, depending on experience, location, and employer.

What is a causal inference machine learning postdoctoral researcher?

A Causal Inference Machine Learning Postdoctoral researcher is a scientist who specializes in developing and applying machine learning methods to understand cause-and-effect relationships in data. They typically hold a recent PhD in statistics, computer science, economics, or a related field, and work in academic or industry research settings. Their work involves designing experiments, analyzing complex datasets, and creating models that can infer causal relationships, which are crucial for making robust predictions and informed decisions. This role often collaborates with interdisciplinary teams to apply these techniques to domains such as healthcare, social science, or economics.

What are the key skills and qualifications needed to thrive as a causal inference machine learning postdoctoral researcher?

To thrive as a Causal Inference Machine Learning Postdoctoral researcher, you need a strong background in statistics, causal inference methodologies, and advanced machine learning, usually evidenced by a PhD in a relevant field. Familiarity with programming languages such as Python or R, experience using statistical software (e.g., TensorFlow, PyTorch, Stan), and knowledge of causal inference libraries are typically required. Outstanding analytical thinking, problem-solving abilities, and strong communication skills help you collaborate effectively and explain complex concepts to diverse audiences. These skills and qualifications are vital for advancing research, deriving actionable insights from data, and contributing to impactful scientific discoveries.

What are some common challenges faced by causal inference machine learning postdoctoral researchers when integrating causal models with real-world data?

Causal Inference Machine Learning Postdoctoral researchers often encounter challenges such as dealing with unobserved confounding variables, ensuring data quality, and addressing biases inherent in observational datasets. Integrating advanced machine learning techniques with causal inference frameworks requires careful consideration of model assumptions and validation methods. Collaboration with domain experts is essential to properly interpret results and to translate findings into actionable insights, especially in interdisciplinary settings like healthcare or social sciences.

What is the difference between Causal Inference Machine Learning Postdoctoral vs Data Scientist?

AspectCausal Inference Machine Learning PostdoctoralData Scientist
Required CredentialsPhD in statistics, machine learning, or related fieldBachelor's or Master's in data science, computer science, or related field
Work EnvironmentAcademic research, research labs, universitiesCorporate, tech companies, startups
Industry UsageResearch, academia, specialized industry projectsBusiness analytics, product development, data-driven decision making
Common Search/ComparisonYesYes

The main difference is that Causal Inference Machine Learning Postdoctoral roles focus on academic research and developing new methods in causal inference, often requiring a PhD. Data Scientists typically work in industry, applying existing models to solve business problems, with a focus on data analysis and visualization. While both roles involve machine learning, the postdoctoral position emphasizes research and theory, whereas data science emphasizes practical application.

Is it difficult to get a causal inference machine learning postdoctoral position?

Securing a causal inference machine learning postdoctoral position can be competitive due to specialized skills required, such as expertise in statistical methods, programming (e.g., Python or R), and a strong research background. Candidates with relevant publications, strong recommendations, and experience in machine learning frameworks often have better chances, but the availability of such positions varies by institution and funding.

What are popular job titles related to Causal Inference Machine Learning Postdoctoral jobs in Washington, DC?

For Causal Inference Machine Learning Postdoctoral jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Washington, DC look for?

The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Washington, DC are:

Causal Inference Machine Learning Postdoctoral jobs near you
Infographic showing various Causal Inference Machine Learning Postdoctoral job openings in Washington, DC as of June 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $61,413 per year, or $29.5 per hour.

Senior Workforce Strategy Consultant - Hybrid

Siza- Buso Consulting

Washington, DC • On-site

$180 - $240/hr

Other

Posted 19 days ago

Job description

About the Opportunity

Are you a data-driven strategist ready to shape the future of work using advanced analytics and AI? We are partnering with a world-renowned global consulting leader to find an elite Senior Workforce Strategy Consultant for their Washington, D.C. practice.


This is not a traditional HR role. You will act as the principal analytics and AI subject-matter lead for Fortune 500 clients. You will combine labor economics, organizational psychology, and machine learning to build predictive data models—helping enterprise leaders forecast talent trends, design fair pay equity structures, and optimize human capital ROI.


What You Will Do

  • Lead AI-Driven Analytics: Use advanced statistics, machine learning, and large language models (LLMs) to unlock internal mobility, skills taxonomies, and retention risks.

  • Advise Enterprise Leaders: Translate complex technical data into clear visual stories, interactive dashboards, and strategic roadmaps for C-suite and HR executives.

  • Architect Workforce Solutions: Lead client engagements from data ingestion through to predictive modeling, validation, and full scaling.

  • Ensure Responsible AI: Implement model validation, bias detection, and strict data privacy compliance across all client deliverables.


What We Are Looking For

  • Experience: 8+ years of high-level consulting experience in workforce strategy, HR analytics, labor economics, or I-O psychology.

  • Education: Master's degree or PhD in Economics, Statistics, Data Science, I-O Psychology, or a heavily quantitative discipline.

  • Technical Toolkit: Proficient in Python, R, SQL, and data visualization tools like Tableau. Solid foundation in regression, causal inference, and predictive modeling.

  • Logistics: Must be based in the Washington, D.C. metro area. Visa sponsorship and relocation assistance are not available.


Why This Role?

This position offers an entirely open, premium compensation package tailored specifically to your expertise and market value. You will join an inclusive, top-tier global network that provides massive corporate backing, cutting-edge AI tools, and a clear executive career trajectory.

#J-18808-Ljbffr

Apply