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Predictive Modeling Jobs in Virginia (NOW HIRING)

NiSource

Senior Project Scheduler

Chester, VA · Hybrid

Driving predictive schedule modeling to maximize accuracy, reliability, and flexibility. * Senior Scheduler performs quantitative forecasting and risk-driven predictive modeling. Contract Commercial ...

Dynamis, Inc.

Data Scientist II

Vienna, VA · On-site

Develop probabilistic and/or predictive models to support analytic objectives. * Implement machine learning processes into production software applications. * Use big data tools and proprietary data ...

Dynamis, Inc.

Data Scientist II

Vienna, VA

Develop probabilistic and/or predictive models to support analytic objectives. * Implement machine learning processes into production software applications. * Use big data tools and proprietary data ...

Dynamis, Inc.

Data Scientist II

Vienna, VA

Develop probabilistic and/or predictive models to support analytic objectives. * Implement machine learning processes into production software applications. * Use big data tools and proprietary data ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics. * Ensure data sharing, API integration ...

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Predictive Modeling information

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$58

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How much do predictive modeling jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for predictive modeling in Virginia is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $67.69 per hour, depending on experience, location, and employer.

What is the highest paying modeling job?

In predictive modeling, senior data scientists and machine learning engineers typically earn the highest salaries, often exceeding six figures annually. These roles require advanced skills in statistical analysis, programming, and experience with tools like Python or R, and they are often found in industries such as finance, technology, and healthcare.

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

To thrive in Predictive Modeling, you need strong statistical analysis, data mining, and machine learning skills, often supported by a degree in statistics, computer science, mathematics, or a related field. Expertise with tools such as Python, R, SAS, or SQL, as well as knowledge of data visualization software, is commonly required, and certifications in data science or analytics are a plus. Strong problem-solving abilities, attention to detail, and effective communication are key soft skills for this role. Mastering these skills enables professionals to build accurate models, interpret data-driven results, and clearly communicate insights to stakeholders, which are critical for informed business decision-making.

What is a Predictive Modeling job?

A Predictive Modeling job involves using statistical techniques, machine learning algorithms, and data analysis to forecast future outcomes based on historical data. Professionals in this role build and test models to identify patterns, trends, and relationships in complex datasets. They commonly work in industries like finance, healthcare, and marketing to improve decision-making and optimize business processes. Strong skills in programming, data manipulation, and statistical analysis are essential for success in this role.

What is a predictive modeler?

A predictive modeler is a professional who develops statistical and machine learning models to forecast future outcomes based on historical data. They use tools like Python, R, or SAS and often require strong analytical skills and knowledge of data science techniques. Their work supports decision-making in various industries such as finance, marketing, and healthcare.

Is 40 too late for data science?

Predictive modeling is a key role in data science, and age is not a barrier to entering the field. Many professionals transition into data science later in their careers by developing skills in programming, statistics, and tools like Python or R, often through online courses or certifications. Success depends on your ability to learn and apply relevant skills, regardless of age.

What does a typical workday look like for someone working in predictive modeling?

A typical day in predictive modeling involves gathering and cleaning data, selecting relevant features, and building statistical or machine learning models to forecast trends or behaviors. You’ll regularly use programming languages and analytics tools to test model performance and iterate on results, while documenting findings and preparing reports for internal teams or clients. Collaboration is often required with data engineers, subject matter experts, and business leaders to ensure that models align with organizational goals. Additionally, you may be tasked with presenting your insights to both technical and non-technical audiences, making strong communication skills essential for success in this role.

What jobs will no longer exist in 2030?

Predictive modeling roles may decline as automation and AI tools increasingly handle data analysis and forecasting tasks. Jobs that involve routine, repetitive tasks are also at risk of automation, potentially reducing demand for certain administrative or manual roles. However, new jobs may emerge in AI oversight, data ethics, and advanced analytics.
What are the most commonly searched types of Predictive Modeling jobs in Virginia? The most popular types of Predictive Modeling jobs in Virginia are:
What are popular job titles related to Predictive Modeling jobs in Virginia? For Predictive Modeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Virginia look for? The top searched job categories for Predictive Modeling jobs in Virginia are:
Predictive Modeling jobs near you

Data Scientist (AI/ML)

Waypoint Human Capital

Chantilly, VA • On-site

Other

Posted 8 days ago

Job description

Position Title: Data Scientist (AI/ML)
Position Type: Full-Time, Fully On-Site
Location: Chantilly, VA
Clearance: Active TS/SCI with CI Poly
Waypoint's client is seeking a Data Scientist (AI/ML) to join their growing team supporting a National Security customer. This role focuses on leveraging Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data engineering to enhance cybersecurity operations, risk management, and enterprise decision-making. The selected candidate will work with large-scale datasets to develop predictive models, automate analysis, and create innovative solutions that improve cyber situational awareness and mission effectiveness.
Responsibilities
  • Develop, train, test, and deploy machine learning and artificial intelligence solutions to support cybersecurity and risk management initiatives.
  • Analyze large structured and unstructured datasets from vulnerability management, authorization, compliance, and cybersecurity tools.
  • Design predictive analytics models to identify trends, anomalies, and emerging risks.
  • Develop data pipelines and automated workflows to collect, transform, and process data from multiple sources.
  • Create interactive dashboards, visualizations, and executive-level reporting products using tools such as Tableau.
  • Apply statistical analysis, machine learning, and AI techniques to support cyber defense and operational decision-making.
  • Support development and integration of Generative AI, Large Language Models (LLMs), and advanced analytics capabilities where applicable.
  • Collaborate with cybersecurity, engineering, and risk management teams to automate data collection, reporting, and visualization processes.
  • Communicate technical findings and recommendations to both technical and non-technical stakeholders.

Required
  • Active TS/SCI clearance with CI Polygraph.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related STEM field.
  • 5+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines.
  • Strong proficiency in Python and experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or SageMaker.
  • Experience developing, training, and deploying machine learning models in operational environments.
  • Strong understanding of statistics, predictive modeling, data mining, and data analysis techniques.
  • Experience working with SQL databases, data architectures, and large-scale datasets.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience transforming and processing data using Python, JSON, and related technologies.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a mission-focused team environment.

Desired
  • Experience supporting Intelligence Community (IC) or DoD customers.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP).
  • Experience with AWS cloud services, including SageMaker, EMR, and related AI/ML services.
  • Experience with Splunk, ServiceNow, or cybersecurity-focused data platforms.
  • Familiarity with RMF, FISMA, vulnerability management, and cybersecurity compliance frameworks.
  • Experience with Apache Hadoop, Spark, or distributed data processing environments.
  • Experience briefing senior government stakeholders and executive leadership.
  • Advanced degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related field.

Preferred Technical Skills
  • Python
  • SQL
  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Generative AI
  • LLMs
  • NLP
  • Tableau
  • AWS SageMaker
  • Hadoop
  • Spark
  • Splunk
  • Data Visualization
  • Predictive Analytics
  • Statistical Modeling
  • Data Engineering

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