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Predictive Modeling Jobs in Washington (NOW HIRING)

Gritter Francona

Lead Data Scientist

Washington, DC · On-site

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. * Designs and validate ...

Amivero

Data Scientist

Columbia, MD · On-site

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

Unissant

Data Scientist

Herndon, VA · On-site

$114K - $189K/yr

The ideal candidate is a data scientist with strong predictive modeling, feature engineering, and model evaluation skills, with particular ability to support official reporting workflows, data ...

AITHERAS, LLC

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact. * Maintain, enhance, and potentially migrate automated Tableau ...

UNISSANT

Data Scientist

Washington, DC · On-site

The ideal candidate is a data scientist with strong predictive modeling, feature engineering, and model evaluation skills, with particular ability to support official reporting workflows, data ...

Unissant

Data Scientist

Washington, DC · On-site

$114K - $189K/yr

The ideal candidate is a data scientist with strong predictive modeling, feature engineering, and model evaluation skills, with particular ability to support official reporting workflows, data ...

Amivero

Data Scientist

Columbia, MD

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

Gritter Francona

Lead Data Scientist

Washington, DC · On-site +1

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. * Designs and validate ...

Amivero

Data Scientist

Columbia, MD · On-site

Design, develop, train, evaluate, and deploy machine learning models and predictive analytics solutions. * Develop statistical models, forecasting solutions, classification models, and advanced ...

AITHERAS, LLC

Performance/Data Analyst III

Washington, DC · On-site

$100K - $120K/yr

Build predictive models for investigative prioritization, case success probability, resource allocation, and operational impact. * Maintain, enhance, and potentially migrate automated Tableau ...

Gritter Francona

Lead Data Scientist

Washington, DC · On-site

Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization. * Designs and validate ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site

$58K - $59K/yr

Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture. * Hands-on programming experience with Python and SQL. * Demonstrated leadership ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Proven experience in predictive modeling, deep learning, optimization, algorithm design, and solution architecture. * Hands-on programming experience with Python and SQL. * Demonstrated leadership ...

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All JobsPredictive Modeling JobsPredictive Modeling Jobs in Washington

Predictive Modeling information

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How much do predictive modeling jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for predictive modeling in Washington is $66.50, according to ZipRecruiter salary data. Most workers in this role earn between $59.62 and $77.31 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 Washington? The most popular types of Predictive Modeling jobs in Washington are:
What are popular job titles related to Predictive Modeling jobs in Washington? For Predictive Modeling jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Washington look for? The top searched job categories for Predictive Modeling jobs in Washington are:
What cities in Washington are hiring for Predictive Modeling jobs? Cities in Washington with the most Predictive Modeling job openings:
Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Washington as of July 2026, with employment types broken down into 65% Full Time, 17% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $138,316 per year, or $66.5 per hour.
Lead Data Scientist

Lead Data Scientist

Gritter Francona

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

VHA supports and provides medical care for VA’s eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans\' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective.

Key Responsibilities
  • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization.
  • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting.
  • Ensures compliance with VA data governance, security, and privacy standards.
  • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;
  • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity
  • Must be eligible to obtain a government clearance
  • Master\'s degree in Data Science, Computer Science, Health Informatics, or Statistics
  • 10+ years in data science or advanced analytics roles
  • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development

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