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Predictive Modeling Jobs in Washington (NOW HIRING)

Apply machine learning or statistical modeling techniques (e.g., clustering, segmentation, predictive modeling) to enhance analytical outputs. * Manage and transform data within Snowflake and other ...

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

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

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

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

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

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

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

Responsibilities : • Develop Predictive Models: Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business ...

Responsibilities : • Develop Predictive Models: Design and implement predictive models using mathematical optimization, discrete-event simulation, and rules programming to drive business ...

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 ...

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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:

Pointer Technologies

Pointer Technologies

Annapolis Junction, MD • On-site

Full-time

Posted 10 days ago


Job description

Job Summary:
Pointer Technologies is seeking a skilled and innovative Data Scientist to join their dynamic team. In this role, you will work at the intersection of data analysis, machine learning, and mission strategy to uncover insights, build predictive models, and help solve mission-critical problems.
Responsibilities:
• Analyze large, complex datasets to uncover patterns, trends, and insights.
• Develop predictive and prescriptive models to address key mission challenges.
• Build, test, and deploy machine learning models and algorithms.
• Collaborate with cross-functional teams to understand mission objectives and translate them into data-driven solutions.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
• Design and implement data visualization dashboards to support real-time decision-making.
• Research and stay updated on the latest advancements in data science and machine learning.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in programming languages such as Python or R.
• Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
• Solid understanding of statistical methods, machine learning algorithms, and predictive modeling techniques.
• Familiarity with data visualization tools like Tableau, Power BI, or Plotly.
• Hands-on experience with SQL and working with large-scale databases.
• TS/SCI clearance with polygraph required
Preferred:
• Knowledge of cloud-based data platforms (e.g., AWS, Azure).
• Experience with big data technologies like Spark, Hadoop, or Databricks.
• Familiarity with MLOps workflows and tools.
• Strong mission familiarity and ability to frame data-driven insights in the context of organizational goals.
• Background in specific domains (e.g., marketing analytics, healthcare, finance).
Company:
Pointer Technologies provides mission specific software services aimed at solving our nations toughest technical problems. Founded in 2023, the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.