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Statistical Learning Jobs in Virginia (NOW HIRING)

Statistician/Mathematician

Herndon, VA · On-site

$112K - $179K/yr

Develop and apply mathematical theories and statistical methods to solve intelligence problems ... Experienced in advanced analytics, machine learning, and data integration methodologies.

Familiarity with machine/statistical learning concepts a plus Embedded development experience a plus Experience exploiting newly deployed technologies a plus. #LI-PS1 Why Choose GRVTY The toughest ...

Develop and apply mathematical theories and statistical methods to solve intelligence problems ... Experienced in advanced analytics, machine learning, and data integration methodologies.

Develop and apply mathematical theories and statistical methods to solve intelligence problems ... Experienced in advanced analytics, machine learning, and data integration methodologies.

Develop and apply mathematical theories and statistical methods to solve intelligence problems ... Experienced in advanced analytics, machine learning, and data integration methodologies.

Familiarity with machine/statistical learning concepts a plus Embedded development experience a plus Experience exploiting newly deployed technologies a plus. #LI-PS1 Why Choose GRVTY The toughest ...

Statistician/Mathematician

Herndon, VA · On-site

$112K - $179K/yr

Develop and apply mathematical theories and statistical methods to solve intelligence problems ... Experienced in advanced analytics, machine learning, and data integration methodologies.

... statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both Electrical and Computer Engineering Ph.D ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to support students from introductory statistics-based ML through advanced deep learning and deployment.

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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 statistics and machine learning that focuses on understanding and modeling relationships between variables using data. It involves methods for predicting outcomes, classifying data points, and uncovering patterns by analyzing large datasets. Techniques in statistical learning include regression, classification, clustering, and dimensionality reduction, among others. These methods are widely used in fields like finance, healthcare, and technology to make data-driven decisions.

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 job categories do people searching Statistical Learning jobs in Virginia look for? The top searched job categories for Statistical Learning jobs in Virginia are:
What cities in Virginia are hiring for Statistical Learning jobs? Cities in Virginia with the most Statistical Learning job openings:
Statistician/Mathematician

Statistician/Mathematician

Peraton

Herndon, VA • On-site

$112K - $179K/yr

Full-time

Posted 17 days ago


Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

45th of 204 rated it services


Job description

Responsibilities
The Statistician/Mathematician specializes in collecting, analyzing, and interpreting data to solve and predict/ mitigate complex intelligence problems by applying statistical methods to provide insights that inform decision making. Responsibilities are, but are not limited to:
  • Develop and apply mathematical theories and statistical methods to solve intelligence problems.
  • Collect, organize, interpret and summarize data to inform decision making to solve a broad range of problems.
  • Develop mathematical or statistical models of phenomena for analysis or computational simulation.
  • Design complex metrics projects that apply valid scientific techniques and utilize information obtained from baselines or historical data.
  • Plan and perform data collection for projects, determining types/sizes of sample groups and parameters.
  • Prepares data for processing by organizing information and checking for inaccuracies.
  • Process large amounts of data for statistical modeling and graphic analysis/ metrics.
  • Develop software or work with developers to automate the collecting and processing of data.
  • Produce the results of analyses in graphs, charts, tables, and metrics.
  • Prepare products to describe and document findings and activities; provide briefings to decision makers.

Qualifications
Required Qualifications:
  • Bachelor's degree in a relevant field, such as Statistics/ Mathematics or Computer Science, with a minimum of 8 years of work experience.
  • Experienced in Statistics/ Mathematics application.
  • Analytical and critical thinking skills to interpret complex data and draw meaningful conclusions.
  • Ability to work collaboratively with users and stakeholders.
  • Capacity to adapt to changing situations to prioritize tasks effectively.
  • Excellent communication, analytical, and problem-solving skills.

Preferred Qualifications:
  • Master's degree in a relevant field, such as Statistics/ Mathematics or Computer Science.
  • Experienced in advanced analytics, machine learning, and data integration methodologies.
  • Experienced with intelligence databases, software, and analytical tools.
  • Experience working in the customer environment is preferred.

Security Clearance:
This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.
Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017