1

Probabilistic Modeling Jobs in Washington, DC (NOW HIRING)

Principal Data Engineer

Bethesda, MD · On-site

$131 - $237/hr

Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources. * Entity Relationship ...

Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources. * Entity Relationship ...

Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources. * Entity Relationship ...

Develop/employ probabilistic models for identity resolution. Design the methodology that links on-platform and off-platform actions to maximize addressability while honoring privacy. * Advance Lift ...

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

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 ...

Data Scientist II

Vienna, VA · On-site

$90K - $130K/yr

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 ...

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 ...

Showing results 21-40

Probabilistic Modeling information

What is the difference between Probabilistic Modeling vs Data Scientist?

AspectProbabilistic ModelingData Scientist
Required CredentialsDegree in statistics, mathematics, or related fields; knowledge of probability theoryDegree in computer science, statistics, or related fields; programming skills
Work EnvironmentResearch-focused, often in analytics or data science teamsCross-functional teams, including business, engineering, and analytics
Industry UsageUsed in analytics, finance, healthcare, and research for modeling uncertaintyApplied across industries for data analysis, predictive modeling, and decision-making

Probabilistic Modeling focuses on developing models based on probability theory to understand uncertainty, while Data Scientists utilize a broader set of skills including programming, data analysis, and machine learning to extract insights from data. Both roles often overlap but serve different primary purposes within data-driven organizations.

What is probabilistic modeling?

Probabilistic modeling is a mathematical framework used to represent uncertain events or data by using probability distributions. Instead of giving a single outcome, it accounts for variability and randomness, allowing predictions and inferences even when information is incomplete or ambiguous. Probabilistic models are widely used in fields like statistics, machine learning, finance, and engineering to analyze data, make forecasts, and support decision-making under uncertainty.

What are the key skills and qualifications needed to thrive as a probabilistic modeler, and why are they important?

To thrive as a Probabilistic Modeler, you need a strong background in mathematics, statistics, and probability theory, often supported by a degree in applied mathematics, statistics, or a related field. Proficiency with programming languages like Python or R, and experience with statistical modeling tools and software such as TensorFlow or PyMC, are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex models into actionable insights. These skills are vital for designing accurate models, interpreting uncertainty, and supporting data-driven decisions across various industries.

What are some common challenges faced by professionals in probabilistic modeling roles, and how can they be managed?

Professionals in probabilistic modeling often encounter challenges such as working with incomplete or noisy data, choosing the right model complexity, and ensuring model interpretability for stakeholders. Managing these challenges involves strong statistical knowledge, regular collaboration with domain experts, and effective communication to translate complex results for non-technical team members. Staying up-to-date with the latest tools and methodologies, and participating in peer reviews, can also help maintain model accuracy and reliability.

Project Controls Engineer III (Risk Management)

X Energy LLC

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

X-energy LLC conducts a thorough recruiting process and will never issue offers without interview to discuss qualifications and responsibilities. All applications will be submitted via our company career page, www.x-energy.com/careers/. We will never ask you to provide payment information as part of the recruiting process. If anyone claiming to represent X-energy directs you in a manner otherwise, please contact us at www.x-energy.com/contact-us.
Job Description
This role is responsible for providing project controls support to program and project leadership in one or more of the areas of planning and scheduling, cost, estimating, and change management/trends across a variety of programs/projects. This role documents and captures the project plan developed by program/project leadership, monitors and measures performance against the plan, and reports on key data metrics back to program/project leadership.
Job Profile Tasks/Responsibilities
  • Provide project controls and risk management support to project teams.
  • Lead quantitative risk analysis activities including schedule risk analysis (SRA), cost risk analysis (CRA), and probabilistic modeling to assess project uncertainties and confidence levels.
  • Develop and maintain comprehensive risk registers, ensuring timely identification, assessment, quantification, and tracking of project risks across cost, schedule, technical, and programmatic domains.
  • Conduct risk-informed analysis of project schedules and cost baselines, integrating risk mitigation strategies and contingency planning into project controls processes.
  • Produce technical reports and executive summaries documenting risk analysis findings, including probability distributions, sensitivity analyses, and Monte Carlo simulation results.
  • Create and distribute risk metrics, dashboards, and Key Performance Indicators (KPIs) to program/project leadership, tracking risk exposure trends, mitigation effectiveness, and emerging risk areas.
  • Support the development of risk-adjusted forecasts and Estimates at Completion (EAC), incorporating quantitative risk assessment results into financial analyses and project performance reporting.
  • Assist in the development and maintenance of project schedules with integrated risk analysis, ensuring accurate timelines, resource allocation, and critical path identification.
  • Track and monitor project budgets, expenses, and financial forecasts with emphasis on risk-driven cost variance analysis and contingency burn-down tracking.
  • Prepare periodic risk assessment reports and performance analyses for program/project leadership, translating complex quantitative data into actionable insights.
  • Maintain professional demeanor and behavior at all times in all forms of communication.
  • Execute the core tasks and responsibilities listed in the Job Profile Task/Responsibilities section of this document, with minimal supervision.
  • Based on assigned project, could perform detailed quantity surveys using on screen takeoff tools.
  • Perform other duties as assigned by manager

Job Profile Minimum Qualifications
  • Bachelor's degree in engineering is required.
  • Typically, five plus years' experience in engineering, project management or related industry experience.
  • Experience utilizing the industry-known best practices in at least one of the areas below: Planning and scheduling; Cost management; Estimating; Change management and trends.
  • Experience using project management software applications.
  • Advanced software skills using on screen takeoff and estimating tools.
  • Experience writing the basis of estimate documents.
  • Knowledge of several construction and project disciplines.
  • Basic understanding of engineering documents and derive quantities from them.
  • Basic software application skills (i.e. Microsoft Word and Excel).
  • Execute the core tasks and responsibilities listed in the Job Profile Task/Responsibilities section of this document, with minimal supervision.
  • Based on assigned project, could perform detailed quantity surveys using on screen takeoff tools.

Location: 9801 Washingtonian Blvd, Gaithersburg, MD
Work Site Expectations: 5 days in office
Travel Expectations: 5% (as needed for project assignment)
Hours: Standard office hours are 8:00am ET to 5:00pm ET, Monday - Friday
Compensation
As required by Maryland and other applicable state law, X Energy, LLC (X-energy) lists the expected compensation range for a publicly advertised job opportunity based upon the job requirements (e.g. education/training, experience, skill sets, etc.). Individual candidates who meet the job requirements for the posted position will be offered a salary within this range based on their respective levels of education/training, experience, and other qualifications unique to them. Salary ranges may vary based on the specific office location and region referenced in the posting to take into consideration differences in cost of living and may not be reflective of all regions. Please note that compensation ranges listed for US job postings reflect base salary only and do not include benefits or other incentives.
Offers within the posted salary range are commensurate with the individual's qualifications for the position, along with a view on internal equity, market data, and room for growth. The salary range for this position is:
$109,000 - $135,000
Position Job Classification
Full time - Exempt
Benefits
X Energy, LLC offers a robust benefits package that includes a 401K plan with an employer match, Medical/Dental /Vision Insurance, Life and Disability Insurance, Paid Time Off, and a Tuition Reimbursement/Professional Development policy that supports the continuing education of our employees.
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
X Energy, LLC participates in E-Verify. Please visit the links below for more information about E-Verify and the protection of your Right to Work.
Right To Work Link: If you have the right to work, don't let anyone take it away (e-verify.gov)
E-Verify Participation Link: E-Verify Participation Poster English and Spanish