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Statistical Learning Jobs in Virginia (NOW HIRING)

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

Our projects span multiple different data modalities and incorporate advanced algorithms, deep learning, and statistical techniques to uncover patterns in social media, structured and unstructured ...

Deep understanding of statistical learning methods * Strong communications and organizational skills * 4+ years of applicable research experience * Bachelor's degree required, Ph.D. desired #LI-SK1 ...

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Statistical Learning information

What are the key skills and qualifications needed to thrive as a statistical learning specialist?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What will I become if I study statistical learning?

Studying statistical learning can lead to roles such as data scientist, data analyst, machine learning engineer, or statistician. These positions involve analyzing data, building predictive models, and applying statistical methods using tools like R or Python in various industries.

What cities in Virginia are hiring for Statistical Learning jobs?

Cities in Virginia with the most Statistical Learning job openings:

Research Scientist and AI and Machine Learning

AIToolboard

Ashburn, VA • On-site

$130 - $180/hr

Other

Medical, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Jobs / Research Scientist and AI and Machine Learning

Research Scientist and AI and Machine Learning

Full-time

About the Role

Research Scientist – AI & Machine LearningNovateur 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 Research Scientists passionate about advancing foundational AI methods for perception and reasoning. You will pursue original research in machine learning, multimodal integration, and explainable AI, working with collaborators from academia and national labs.

Responsibilities
  • Formulate and conduct research in large-scale machine learning and spatiotemporal analytics.
  • Publish findings in top-tier conferences and journals.
  • Collaborate on grant proposals and cross-disciplinary R&D initiatives.
  • Supervise interns and junior researchers.
Requirements
  • PhD in Computer Science, Mathematics, Physics, or related field.
  • Deep understanding of statistical learning, computer vision, or representation learning.
  • Ability to transition research concepts into implementable systems.
Preferred
  • Experience with multimodal learning, uncertainty quantification, or causal inference.

Join a team that values creativity and initiative. Our scientists and engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications.

Company BenefitsNovateur 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.

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