Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Machine Learning DSP Engineer
Arlington, VA · On-site
$164K - $192K/yr
We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... Utilize both Software and DSP techniques to optimize training and inference pipelines * Work ...
Machine Learning DSP Engineer
Arlington, VA · On-site
$164K - $192K/yr
We are seeking Full-time Machine Learning DSP Engineer who will help combine elements of software ... Utilize both Software and DSP techniques to optimize training and inference pipelines * Work ...
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
$116K - $210K/yr
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
$116K - $210K/yr
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Senior Workforce Strategy Consultant - Washington, DC - $91,000-$225,000
Washington, DC · Hybrid
$91K - $225K/hr
... machine learning skills: regression, causal inference, time series, clustering, and predictive modeling - Proficiency in modern data tooling and languages (e.g., Python, R, SQL) and experience with ...
Quick apply
Senior Workforce Strategy Consultant - Washington, DC - $91,000-$225,000
Washington, DC · Hybrid
$91K - $225K/hr
... machine learning skills: regression, causal inference, time series, clustering, and predictive modeling - Proficiency in modern data tooling and languages (e.g., Python, R, SQL) and experience with ...
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
$116K - $210K/yr
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
$116K - $210K/yr
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Data Scientist
Springfield, VA · On-site
Statistical modeling and inference * Machine learning and artificial intelligence * Predictive analytics and forecasting * Data mining and pattern analysis * Feature engineering and model evaluation
Work with modern ML approaches-embeddings, ranking systems, and real-time inference. What You'll Do: * Build machine learning models for search relevance, ranking, and personalized recommendations.
Work with modern ML approaches-embeddings, ranking systems, and real-time inference. What You'll Do: * Build machine learning models for search relevance, ranking, and personalized recommendations.
Reinforcement Learning (World Models, Reasoning, GRPO, PPO, RLHF) * Causal Inference and Decision ... machine learning engineers and product managers to test and design AI- powered products that change ...
Reinforcement Learning (World Models, Reasoning, GRPO, PPO, RLHF) * Causal Inference and Decision ... machine learning engineers and product managers to test and design AI- powered products that change ...
... Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U ... Develop and optimize model training & inference pipelines for real-time execution and efficiently ...
... Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U ... Develop and optimize model training & inference pipelines for real-time execution and efficiently ...
Machine Learning Engineer (Recommender Systems)
Washington, DC · On-site
$129K - $155K/yr
Continuously optimize inference pipelines for latency, performance, and relevance. What You Bring: * 2+ years of hands-on experience building and deploying machine learning models in production.
Machine Learning Engineer (Recommender Systems)
Washington, DC · On-site
$129K - $155K/yr
Continuously optimize inference pipelines for latency, performance, and relevance. What You Bring: * 2+ years of hands-on experience building and deploying machine learning models in production.
Artificial Intelligence Machine Learning Engineer
Ashburn, VA · On-site +1
$117K - $140K/yr
... Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U ... Develop and optimize model training & inference pipelines for real-time execution and efficiently ...
Artificial Intelligence Machine Learning Engineer
Ashburn, VA · On-site +1
$117K - $140K/yr
... Machine Learning (AI/ML) based solutions into operational pipelines to deliver mission impact for U ... Develop and optimize model training & inference pipelines for real-time execution and efficiently ...
Senior Machine Learning Engineer
Mclean, VA · On-site
$105K - $145K/yr
We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Senior Machine Learning Engineer
Mclean, VA · On-site
$105K - $145K/yr
We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Senior Machine Learning Engineer
Mclean, VA · On-site
$105K - $145K/yr
Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Quick apply
Senior Machine Learning Engineer
Mclean, VA · On-site
$105K - $145K/yr
Your Mission, Should You Choose to Accept As a Machine Learning Engineer, you will research ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Senior Machine Learning Engineer
$105K - $145K/yr
We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Senior Machine Learning Engineer
$105K - $145K/yr
We are looking for a Senior Machine Learning Engineer to that will focus on researching, designing ... Experience deploying ML models into production (batch or real-time inference) Background in ...
Machine Learning Engineer - Remote
Vienna, VA · On-site
$114K - $138K/yr
... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ...
Machine Learning Engineer - Remote
Vienna, VA · On-site
$114K - $138K/yr
... Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of ... Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform ...
Causal Inference Machine Learning Postdoctoral information
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?
| Aspect | Causal Inference Machine Learning Postdoctoral | Data Scientist |
|---|---|---|
| Required Credentials | PhD in statistics, machine learning, or related field | Bachelor's or Master's in data science, computer science, or related field |
| Work Environment | Academic research, research labs, universities | Corporate, tech companies, startups |
| Industry Usage | Research, academia, specialized industry projects | Business analytics, product development, data-driven decision making |
| Common Search/Comparison | Yes | Yes |
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?
For Causal Inference Machine Learning Postdoctoral jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Causal Inference Machine Learning Postdoctoral jobs in Washington look for?
The top searched job categories for Causal Inference Machine Learning Postdoctoral jobs in Washington are:
Data Scientist
Springfield, VA • On-site
Leidos
• IT Services • 10K+ employees10,000+ employees
Full-time
Re-posted 21 days ago
Leidos rating
8.3
Based on 154 frontline employees who took The Breakroom Quiz
Job description
Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
Required Technical Skills
Basic Qualifications
Preferred Qualifications
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 30, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
- Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
- Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
- Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
- Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
- Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
- Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
- Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
- Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
- Support data governance, security, compliance, and responsible AI practices within government mission environments.
- Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
- Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.
Required Technical Skills
- Statistical modeling and inference
- Machine learning and artificial intelligence
- Predictive analytics and forecasting
- Data mining and pattern analysis
- Feature engineering and model evaluation
- Data wrangling, integration, and transformation
- Python, R, SQL, and scientific computing libraries
- Visualization and dashboarding tools
- Model deployment, monitoring, and lifecycle support
- Documentation, briefing development, and technical communication
Basic Qualifications
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
- Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
- Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
- Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
- Strong programming experience in Python, R, SQL, or similar analytic languages.
- Experience working with large, complex, and potentially disparate datasets in enterprise environments.
- Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
- Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
- Active TS/SCI with ability to be approved for a Poly
Preferred Qualifications
- Master's degree or Ph.D. in a relevant quantitative or technical discipline.
- Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
- Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
- Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
- Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
- Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
- Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
- Experience briefing senior government leadership and mission stakeholders.
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
June 30, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
About Leidos
Sourced by ZipRecruiter
At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.
Industry
It services
Company size
10,000+ Employees
Headquarters location
Reston, VA, US