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Predictive Modeling Jobs in Baltimore, MD (NOW HIRING)

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 ...

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 ...

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 ...

Blend360

Associate Director of Data Science

Columbia, MD

$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 ...

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 ...

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All JobsPredictive Modeling JobsPredictive Modeling Jobs in Baltimore, MD

Predictive Modeling information

See Baltimore, MD salary details

$10

$58

$82

How much do predictive modeling jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for predictive modeling in Baltimore, MD is $58.34, according to ZipRecruiter salary data. Most workers in this role earn between $52.31 and $67.84 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 popular job titles related to Predictive Modeling jobs in Baltimore, MD? For Predictive Modeling jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Predictive Modeling jobs in Baltimore, MD look for? The top searched job categories for Predictive Modeling jobs in Baltimore, MD are:
Predictive Modeling jobs near you
Infographic showing various Predictive Modeling job openings in Baltimore, MD as of July 2026, with employment types broken down into 74% Full Time, 8% Part Time, and 18% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $121,346 per year, or $58.3 per hour.
Operations Research / Systems Analyst (ORSA) - Modeling and Simulation (5403)

Operations Research / Systems Analyst (ORSA) - Modeling and Simulation (5403)

SMX

Hanover, MD • On-site

$98K - $115K/yr

Other

Posted 9 days ago

Job description

The Operations Research (OR) Analyst - Modeling & Simulation Focus provides advanced process modeling, simulation, statistical analysis, and predictive analytics across a Federal Agency's personnel vetting, industrial security, and counterintelligence operations. This position develops queueing models, discrete-event simulations, and predictive models that enable the Federal Agency to identify process bottlenecks, forecast operational outcomes, and transition from reactive reporting toward proactive, data-driven decision support.

Essential Duties & Responsibilities

Process Modeling & Simulation

  • Develop queueing models and discrete-event simulations to identify bottlenecks and inefficiencies within operational pipelines (personnel vetting, facility inspections, investigative workflows)
  • Analyze and recommend process improvements that reduce turnaround times while maintaining required quality and compliance standards
  • Conduct scenario analysis and what-if modeling to evaluate the impact of proposed process changes, policy modifications, or resource reallocations
  • Build simulation models that capture stochastic variation, resource constraints, and operational policies to provide realistic operational forecasts

Statistical & Predictive Modeling

  • Apply statistical analysis and risk modeling to prioritize assessments, optimize resource deployment, and identify emerging risk or threat vectors
  • Utilize advanced mathematical and statistical modeling to detect anomalies, patterns, and trends within large, complex, and disparate data sets
  • Develop predictive models that enhance the organization's ability to forecast workload, prioritize cases, and respond to emerging conditions and threats
  • Apply machine learning techniques for classification, clustering, anomaly detection, and pattern recognition in support of counterintelligence and insider threat missions

Model Validation & Analysis

  • Validate model assumptions and outputs against historical operational data and subject matter expert input
  • Conduct sensitivity analysis to understand model behavior under varying assumptions and parameter values
  • Quantify and communicate uncertainty in model predictions and recommendations
  • Document modeling methodologies, assumptions, and limitations to ensure transparency and reproducibility

Collaboration & Communication

  • Work closely with data engineering specialists to define analytical dataset requirements and ensure data suitability for modeling
  • Translate analytical outputs into objective, data-driven recommendations that support strategic and operational decision-making
  • Present complex modeling results to technical and non-technical audiences through visualizations and clear narratives
  • Participate in cross-functional team activities to maintain technical standards and share knowledge

Required Skills/Experience

  • 8+ years of progressive, hands-on operations research experience, including demonstrated application of queueing theory, simulation, statistical modeling, and predictive analytics to real-world operational problems
  • 3-5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
  • Expert-level knowledge of queueing theory and discrete-event simulation, with demonstrated ability to model complex operational processes
  • Hands-on experience with simulation tools (Arena, AnyLogic, SimPy, or similar)
  • Strong foundation in statistical modeling, hypothesis testing, experimental design, and time-series analysis
  • Demonstrated, hands-on proficiency in an analytical programming language (Python, R, or SAS), including statistical and machine learning libraries
  • Proven ability to build and validate predictive models that forecast operational outcomes
  • Experience working with complex, messy real-world datasets (missing data, inconsistent formats, temporal misalignment)
  • Ability to translate analytical findings into objective, data-backed recommendations for strategic decision-making
  • Experience working in secure (classified) government environments
  • Secret clearance required (active or ability to obtain)

 

Desired Skills/Experience

  • Advanced degree in Operations Research, Applied Mathematics, Statistics, Industrial Engineering, or a related quantitative discipline
  • Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
  • Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch) for anomaly detection and pattern recognition
  • Knowledge of Bayesian statistical methods and uncertainty quantification
  • Experience with Monte Carlo simulation and stochastic modeling
  • Familiarity with agent-based modeling
  • Model validation and verification methodologies (V&V best practices)
  • Data visualization tools (Tableau, Power BI, matplotlib, seaborn)
  • Knowledge of optimization methods (linear programming, heuristics) to better integrate with optimization specialists
  • SQL and database querying skills to support data preparation for modeling
  • Experience with feature engineering and data preparation for statistical and machine learning models

Application Deadline: July 31, 2026

Funding Level: Proposal 

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