Overview Principal Research Scientist - AI & Machine Learning Novateur stands for Innovation. We ... Experience with multimodal learning, uncertainty quantification, or causal inference. Company ...
Overview Principal Research Scientist - AI & Machine Learning Novateur stands for Innovation. We ... Experience with multimodal learning, uncertainty quantification, or causal inference. Company ...
Machine Learning Engineer
Mclean, VA · On-site
$105K - $115K/yr
As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... Perform exploratory data analysis, statistical modeling, causal inference, and other advanced ...
New
Machine Learning Engineer
Mclean, VA · On-site
$105K - $115K/yr
As a Machine Learning Engineer at Somatus, you will work collaboratively with our data and ... Perform exploratory data analysis, statistical modeling, causal inference, and other advanced ...
New
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $220K/yr
Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $220K/yr
Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $220K/yr
Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
Senior Data Scientist
Herndon, VA · On-site +1
$160K - $220K/yr
Machine Learning: XGBoost, LightGBM, Random Forests, Neural Networks, Deep Learning * Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, time series, causal inference
Data Scientist II
Washington, DC · On-site +1
Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... Applied machine learning Use standard ML techniques (classification, regression, clustering) where ...
Quick apply
Data Scientist II
Washington, DC · On-site +1
Experimentation and causal inference Own A/B tests end-to-end, from design and power analysis ... Applied machine learning Use standard ML techniques (classification, regression, clustering) where ...
... machine learning technologies and operating across billions of customer records to unlock the big ... As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ...
... machine learning technologies and operating across billions of customer records to unlock the big ... As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ...
... machine learning technologies and operating across billions of customer records to unlock the big ... As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ...
... machine learning technologies and operating across billions of customer records to unlock the big ... As the DoE and Causal Inference Lead, you will act as a strategic force multiplier, ensuring that ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Machine Learning Engineer
Herndon, VA · On-site
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Machine Learning Engineer
Herndon, VA · On-site
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Quick apply
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Transform machine learning models into deployable APIs and integrate them with existing ... Experience with statistical modeling and inference. Position Clearance Requirement: TS/SCI with ...
Senior Faculty Specialist
Washington, DC · On-site
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
Senior Faculty Specialist
Washington, DC · On-site
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
Sr Data Scientist with Security Clearance
Washington, DC · On-site
$68.66/hr
This role is ideal for an experienced Data Scientist with strong Python, SQL, machine learning, 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
This role is ideal for an experienced Data Scientist with strong Python, SQL, machine learning, and ... causal inference workstreams, translating questions into testable hypotheses and clear findings ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. *Familiarity with experimental design and causal inference ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
Expertise in data analysis and machine learning, with experience applying these techniques in an educational context preferred. Familiarity with experimental design and causal inference methodologies ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
We use machine learning and Internet-scale data to elevate customer experience, improve efficiency ... causal inference. Search & Discovery ML : The Search and Discovery ML team at Instacart works ...
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, and why are they important?
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.
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:
What cities in Washington are hiring for Causal Inference Machine Learning Postdoctoral jobs? Cities in Washington with the most Causal Inference Machine Learning Postdoctoral job openings:
Principal Research Scientist - AI & Machine Learning
Ashburn, VA • On-site
Full-time
Medical, Life, Retirement, PTO
This job post has expired today. Applications are no longer accepted.
Job description
Overview
#J-18808-LjbffrPrincipal Research Scientist – AI & Machine Learning
Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning.
We are hiring a Principal Research Scientist to lead cutting-edge programs in AI, computer vision, and intelligent systems. This role offers leadership opportunities to define new research directions and shape next-generation technologies.
Responsibilities- Serve as PI or co-PI on government-funded R&D programs.
- Conceive, design, and oversee research in learning systems, spatiotemporal modeling, and geo-localization.
- Publish, present, and contribute thought leadership to the AI community.
- Mentor research staff and guide proposal development.
- PhD with 7+ years of research experience.
- Demonstrated leadership in ML, vision, or scientific computing.
- Record of funding, publications, and technical impact.
- Experience with multimodal learning, uncertainty quantification, or causal inference.
Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance.
We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.