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Predictive Analytics Jobs in Virginia (NOW HIRING)

The Data Scientist will support predictive analytics, model development and help inform architectural decisions for data science tools supporting an overall enterprise predictive analytics platform.

Analyze existing workflows and processes to identify opportunities for AI-driven enhancements, focusing particularly on predictive maintenance solutions. * Build, train, and deploy machine learning ...

Develop role-based dashboards, workforce models, and predictive analytics to support data-driven decision-making. Development of Power BI and Tableau dashboards, structured data governance, and ...

AI Solutions Engineer

Chantilly, VA ยท On-site

$170K - $210K/yr

Analyze existing workflows and processes to identify opportunities for AI-driven enhancements, focusing particularly on predictive maintenance solutions. * Build, train, and deploy machine learning ...

... predictive analytics, structured methodologies, and semantic integration across the defense intelligence mission set. This role involves designing and recommending analytic strategies, developing ...

Experience applying predictive analytics to strategic intelligence problems across multiple domains. * Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend ...

Enable advanced analytics capabilities, including threat detection models, pattern analysis, system performance metrics, and predictive analytics. * Partner with data scientists and analysts to ...

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Predictive Analytics information

See Virginia salary details

$26.8K

$111.8K

$198.8K

How much do predictive analytics jobs pay per year?

As of Jul 2, 2026, the average yearly pay for predictive analytics in Virginia is $111,755.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,900.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are some typical challenges faced in a Predictive Analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

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

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are the most commonly searched types of Predictive Analytics jobs in Virginia? The most popular types of Predictive Analytics jobs in Virginia are:
What job categories do people searching Predictive Analytics jobs in Virginia look for? The top searched job categories for Predictive Analytics jobs in Virginia are:

Data Analyst/Scientist with Security Clearance

Complete Data Solutions, LLC

Merrifield, VA โ€ข On-site

Other

Medical, Retirement, PTO

Posted 25 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
โ€ข Data Collection & Preparation: Gather, clean, and preprocess data from diverse sources, ensuring accuracy and integrity.
โ€ข Exploratory Data Analysis (EDA): Uncover trends, patterns, and anomalies using statistical methods.
โ€ข Predictive Modeling: Develop and implement statistical models, machine learning algorithms, and forecasting techniques.
โ€ข Data Visualization & Reporting: Create dashboards (Tableau, Power BI) and reports to communicate insights to technical and non-technical audiences.
โ€ข Collaboration: Partner with adjacent teams (Data Management, Operations, Intelligence Analysts) to define needs, identify opportunities, and support decision-making.
โ€ข Data Quality: Implement and monitor data quality controls and data governance processes. Essential Skills & Qualifications
โ€ข Technical Skills: SQL, Python/R (for modeling), statistical software, data visualization tools (Tableau, Power BI).
โ€ข Data Science: Statistical analysis, hypothesis testing, predictive modeling, machine learning concepts.
โ€ข Analytical Skills: Strong problem-solving, critical thinking, attention to detail.
โ€ข Communication: Ability to explain complex findings clearly.
โ€ข Education: Bachelor's/Master's in a related field โ€ข 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.