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R Statistics Jobs in Virginia (NOW HIRING)

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

Statistician

Lynchburg, VA · On-site

$66K - $101K/yr

Qualify measurement and inspection systems using statistical evaluations including gage R&R studies ... Bachelor's Degree in Statistics is required. Master's Degree is preferred. * Two or more years of ...

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

Adapts instruction using statistical software like R or StatCrunch, real-world data sets, and visual simulations to support undergraduate students across all majors. * Effective Teaching Methods:

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R Statistics information

What is an R Statistics job?

An R Statistics job involves using the R programming language for data analysis, statistical modeling, and visualization. Professionals in this role work with datasets to derive insights, create reports, and develop predictive models. Common industries include healthcare, finance, academia, and technology. Key skills include proficiency in R, data manipulation, statistical techniques, and knowledge of machine learning or data science concepts.

What are the key skills and qualifications needed to thrive in the R Statistics position, and why are they important?

To thrive as an R Statistics professional, you need a solid understanding of statistical methods, data analysis, and proficiency in R programming, often supported by a degree in statistics, mathematics, or a related field. Familiarity with tools like RStudio, database management systems, and relevant data visualization libraries is highly beneficial, and certifications such as R programming certifications or data analytics courses can enhance employability. Critical thinking, problem-solving, and strong communication skills are essential for interpreting complex data and conveying insights to diverse stakeholders. These skills enable you to derive actionable conclusions from data, support business decision-making, and ensure robust, reproducible analysis processes.

What types of projects or data sets might I work with as an R Statistics professional?

As an R Statistics professional, you may work with a wide range of projects and data sets, including customer behavior analytics, health outcomes research, financial modeling, or experimental and survey data. Your daily responsibilities could include cleaning and transforming raw data, developing predictive models, running statistical tests, and generating reports or visualizations to share findings with clients or internal teams. Project scopes often depend on the industry, but collaboration with data engineers, business analysts, and subject matter experts is common to ensure analyses address real-world business challenges. Working with diverse data sets sharpens your ability to adapt your analytical approach and broadens your domain expertise, supporting continuous career development.
What are the most commonly searched types of R Statistics jobs in Virginia? The most popular types of R Statistics jobs in Virginia are:
What are popular job titles related to R Statistics jobs in Virginia? For R Statistics jobs in Virginia, the most frequently searched job titles are:

Data Analyst/Scientist with Security Clearance

Complete Data Solutions, LLC

Merrifield, VA

Other

Medical, Retirement, PTO

Posted 21 days ago


Job description

Data Analyst/Scientist Location: Merrifield, VA on site
Type: Full Time Complete Data Solutions (CDS) is a leading data engineering and analytics company focused on providing our federal government clients with innovative solutions to complex data engineering and analytics problems. CDS is proud of the data engineering support we have provided to the Law Enforcement and Intelligence Communities over our 25-year history. CDS provides data center, analytic, system design/development, and reporting support to our federal clients. CDS offers competitive salaries and a comprehensive benefits program including health insurance, 401k, competitive paid annual leave, tuition reimbursement, and a host of other benefits, which reflects our long-term commitment to our staff. Job Description:
Complete Data Solutions (CDS) is seeking a Data Analyst with a Data Science focus who bridges traditional analysis with predictive modeling, focusing on transforming complex data into actionable insights, building statistical/ML models, creating visualizations, and ensuring data quality while collaborating with business stakeholders to drive strategy, requiring skills in SQL, Python/R, statistics, and tools like Tableau/Power BI. This role goes beyond descriptive reporting, involving predictive analytics, hypothesis testing, and sometimes big data tools (Spark, Hadoop), to solve complex problems and forecast outcomes for operational and intelligence outcomes. Key Responsibilities
• Data Collection & Preparation: Gather, clean, and preprocess data from diverse sources, ensuring accuracy and integrity.
• Exploratory Data Analysis (EDA): Uncover trends, patterns, and anomalies using statistical methods.
• Predictive Modeling: Develop and implement statistical models, machine learning algorithms, and forecasting techniques.
• Data Visualization & Reporting: Create dashboards (Tableau, Power BI) and reports to communicate insights to technical and non-technical audiences.
• Collaboration: Partner with adjacent teams (Data Management, Operations, Intelligence Analysts) to define needs, identify opportunities, and support decision-making.
• Data Quality: Implement and monitor data quality controls and data governance processes. Essential Skills & Qualifications
• Technical Skills: SQL, Python/R (for modeling), statistical software, data visualization tools (Tableau, Power BI).
• Data Science: Statistical analysis, hypothesis testing, predictive modeling, machine learning concepts.
• Analytical Skills: Strong problem-solving, critical thinking, attention to detail.
• Communication: Ability to explain complex findings clearly.
• Education: Bachelor's/Master's in a related field • Clearance: Required Current Secret or Top-Secret Clearance Clearance:
Applicants must possess Secret or higher clearance. CDS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.