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Statistical Learning Jobs in Virginia (NOW HIRING)

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 ...

... statistical learning concepts a plus. • Embedded development experience a plus. • Experience exploiting newly deployed technologies a plus. Company : GRVTY is a defense technology company that ...

Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets. * Experience with any of the following ...

Experience using applied statistics or machine learning in a professional or other intensive problem-solving environment with large, complex datasets. * Experience with any of the following ...

Statistics Tutor

Leesburg, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Statistics Tutor

Blacksburg, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Statistics Tutor

Richmond, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Statistics Tutor

Norfolk, VA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Statistics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

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Statistical Learning information

What are the key skills and qualifications needed to thrive as a Statistical Learning Specialist, and why are they important?

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.

What is statistical learning?

Statistical learning is a field within data analysis and machine learning that focuses on understanding and modeling the relationship between variables using statistical methods. It involves techniques such as regression, classification, and pattern recognition, often utilizing tools like R or Python. Professionals in this area analyze data to make predictions or inform decisions based on statistical models.

What jobs make $1,000,000 a year?

In the field of statistical learning, high-paying roles such as data science executives, chief data officers, or senior machine learning engineers can reach or exceed $1,000,000 annually, especially in large tech companies or finance firms. These positions typically require advanced skills in statistical modeling, programming, and experience managing large datasets, often combined with performance-based bonuses and stock options.

What careers can you get with statistics?

A career in statistical learning can lead to roles such as data analyst, data scientist, statistician, machine learning engineer, and quantitative researcher. These positions typically require skills in programming, data analysis, and statistical software, and are common in industries like finance, healthcare, technology, and government. Certifications in data analysis or machine learning can enhance job prospects.

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.

Is 40 too late for data science?

Statistical learning roles in data science do not have strict age limits, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.

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 cities in Virginia are hiring for Statistical Learning jobs? Cities in Virginia with the most Statistical Learning job openings:

Data Scientist - Mid with Security Clearance

Gateway Geospatial Group

Charlottesville, VA • On-site

Other

Posted 16 days ago


Job description

About the role The Data Scientist applies statistical learning, predictive modeling, and analytic tradecraft to transform diverse data including economic, industrial, logistics, and geospatial into mission insights. This role involves exploratory data analysis, model development, and advanced algorithmic approaches to identify hidden patterns and generate predictive intelligence. Data Scientists in this role collaborate directly with analysts and mission stakeholders to translate operational questions into actionable, data-driven answers. Responsibilities * Apply statistical modeling, machine learning, and AI techniques. * Develop predictive models for economic and infrastructure datasets. * Perform feature engineering and algorithm optimization. * Collaborate with analysts to translate mission questions into data solutions. * Support development of automation for anomaly detection. Required qualifications * Active TS/SCI clearance. * Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or related field OR 9+ years of relevant experience in lieu of a degree. * 5-7 years of applied analytic experience with large datasets. * Strong proficiency in Python, R, or Julia. * Solid background in applied statistics or machine learning. Preferred qualifications * Master's degree in related field. * Experience with IC/DoD data repositories. * Familiarity with graph analytics or NLP.