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Predictive Modeling Jobs in Washington (NOW HIRING)

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 ...

Aegis Corps, Inc.

Risk Analyst

Washington, DC

We are seeking an experienced predictive risk modeler to perform risk assessment on FHA multifamily housing portfolio. To perform in this role, the potential candidate will need skills in ...

Amivero

Data Architect/ Science Lead

Columbia, MD · On-site

Develop and evaluate machine learning models, artificial intelligence solutions, predictive analytics capabilities, and advanced statistical models. * Collaborate with business stakeholders ...

Amivero

Data Architect/ Science Lead

Columbia, MD · On-site

Develop and evaluate machine learning models, artificial intelligence solutions, predictive analytics capabilities, and advanced statistical models. * Collaborate with business stakeholders ...

Amivero

Data Architect/ Science Lead

Columbia, MD · On-site

Develop and evaluate machine learning models, artificial intelligence solutions, predictive analytics capabilities, and advanced statistical models. * Collaborate with business stakeholders ...

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 ...

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Predictive Modeling information

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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 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
Technical Writer III

Technical Writer III

V-Tech Solutions Inc.

Washington, DC • On-site

$47.03/hr

Contractor

Posted 5 days ago

Job description

Description
Position: Technical Writer III
Location: Washington, DC
Pay Rate: $47.03/hour
Position Summary
V-Tech Solutions is seeking a Technical Writer III to support the Epidemiology, Surveillance, & Reporting Unit within the Center for Policy, Planning, and Evaluation (CPPE) at the DC Department of Health. The selected candidate will serve as a subject matter expert, supporting public health disease surveillance, injury monitoring, geospatial analysis, data visualization, reporting, and evaluation activities. This role requires strong analytical, statistical, and communication skills to support data-driven public health initiatives.
Key Responsibilities
  • Assist in planning, designing, and managing injury surveillance and reporting systems for unintentional injuries, including drug overdoses and firearm-related injuries.
  • Conduct geospatial, spatial, temporal, and cluster analyses using public health datasets.
  • Develop dashboards, reports, and data visualizations using tools such as ArcGIS and Tableau.
  • Maintain reporting applications and support the dissemination of public-facing surveillance data.
  • Develop protocols and recommend strategies to improve surveillance data collection, management, monitoring, and reporting processes.
  • Support the injury surveillance team in developing geospatial modeling approaches to inform violence prevention and overdose response strategies.
  • Perform predictive modeling, risk terrain modeling, and advanced geospatial analyses.
  • Develop monitoring and evaluation frameworks for injury surveillance activities.
  • Provide statistical and geospatial consultation to agency staff on study design, data analysis, and interpretation.
  • Perform data linkage activities by integrating overdose, violence, and related public health datasets.
  • Collect, manage, and maintain patient health data within electronic databases.
  • Monitor quality assurance and quality improvement activities related to surveillance data and reporting processes.
  • Participate in meetings and conference calls to support project objectives.
  • Serve as a subject matter expert for study design, statistical analysis, manuscript preparation, and injury surveillance initiatives.
  • Perform additional duties as assigned based on project needs.
Required Qualifications
Education
  • Master's degree in Public Health, Epidemiology, Biostatistics, Health Informatics, or a related field from an accredited college or university.
Experience
  • Minimum of 3-5 years of public health or epidemiology experience.
  • Demonstrated experience using ArcGIS for geospatial analysis is required.
  • Experience with business intelligence and data analytics tools such as Tableau is preferred.
  • Experience with injury surveillance, disease surveillance, or public health reporting is highly desirable.
Required Skills
  • Proficiency in ArcGIS and geospatial analysis.
  • Experience with Tableau or similar data visualization platforms.
  • Strong statistical analysis and data interpretation skills.
  • Knowledge of predictive modeling and risk terrain modeling.
  • Experience developing dashboards and public health reports.
  • Excellent technical writing, documentation, and communication skills.
  • Ability to manage multiple projects and meet deadlines.
  • Strong organizational and analytical problem-solving skills.
  • Ability to work independently and collaboratively within multidisciplinary teams.
Work Schedule
  • Up to 8 hours per day, 5 days per week.
  • Weekend and holiday work may be required based on project needs.
Assignment Duration
  • Through August 31, 2025, or as otherwise directed by the client.

Pay Range
$47.03 Hourly to $47.03 Hourly

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