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Remote Predictive Modeling Jobs in Virginia (NOW HIRING)

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Runs advanced and predictive analyses and performs model assessments, validation, and enhancement ...

Axiom Path

Lead AI Engineer #3631731

Richmond, VA · On-site +1

$120K - $187K/yr

This is a full-time opportunity available in Richmond, VA on a hybrid basis, with remote ... Design, build, train, evaluate, and deploy machine learning models for predictive analytics ...

New

Axiom Path

Lead AI Engineer #3624294

Richmond, VA · On-site +1

$180K - $200K/yr

This is a full-time opportunity available to candidates in Richmond, VA on a hybrid basis or remote ... Design, build, train, evaluate, and deploy machine learning models for predictive analytics ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

Direct experience supporting and maintaining risk-scoring models or similar predictive analytic ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

GeoDelphi

Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared GeoDelphi, Inc. dba ... Develop and implement statistical models, machine learning workflows, and geospatial analytics ...

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Remote Predictive Modeling information

What jobs will no longer exist in 2030?

Predictive modeling jobs are expected to evolve significantly by 2030, with some routine data analysis roles potentially automated through advanced AI and machine learning tools. However, roles requiring complex judgment, creativity, and domain expertise will continue to be essential, though the skills needed may shift toward managing and interpreting AI systems. Overall, jobs that rely heavily on manual, repetitive tasks are most at risk of disappearing or transforming.

Is 40 too late for data science?

Age is not a barrier to entering remote predictive modeling or data science roles. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Employers value experience and skills over age, making it possible to start or switch to data science at 40 or older.

Is predictive modeling difficult?

Predictive modeling as a job involves analyzing data, selecting appropriate algorithms, and validating models, which can be complex and requires strong analytical and programming skills. Success often depends on understanding statistical concepts, data preprocessing, and tools like Python or R, making it a challenging but manageable field for those with relevant training. Continuous learning and experience are key to mastering the skills needed for this role.

Can AI do predictive modeling?

AI is commonly used in predictive modeling to analyze data and forecast future outcomes. Predictive modeling involves techniques like machine learning algorithms, which are often implemented by data scientists and analysts using tools such as Python or R. These models are essential in various industries for decision-making and strategic planning.

What is the difference between Remote Predictive Modeling vs Remote Data Analysis?

AspectRemote Predictive ModelingRemote Data Analysis
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data cleaning, descriptive statistics, visualization
Work EnvironmentCollaborative teams, project-based tasks, often in tech or financeData reporting, dashboard creation, business insights
Common CertificationsCertified Data Scientist, Machine Learning certificationsData Analysis certifications, Tableau or Power BI certifications

Remote Predictive Modeling focuses on building models to forecast future outcomes using advanced algorithms, while Remote Data Analysis involves examining existing data to generate insights and reports. Both roles require strong analytical skills, but predictive modeling emphasizes machine learning and statistical techniques, whereas data analysis centers on data interpretation and visualization.

What are popular job titles related to Remote Predictive Modeling jobs in Virginia? For Remote Predictive Modeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Predictive Modeling jobs in Virginia look for? The top searched job categories for Remote Predictive Modeling jobs in Virginia are:
What cities in Virginia are hiring for Remote Predictive Modeling jobs? Cities in Virginia with the most Remote Predictive Modeling job openings:
Remote Predictive Modeling jobs near you
Senior Reliability Engineer

Senior Reliability Engineer

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Re-posted 23 days ago

Job description

Senior Reliability Engineer
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as our Senior Reliability Engineer for the Conditions Based Maintenance (CBM+) Program. The Senior Reliability Engineer will serve as a key advisor to the program manager and will be responsible for engagement with stakeholders. The Reliability Engineer will serve as the principal internal reliability consultant to the delivery teams, advising on matters related to part reliability and forecasting, including understanding failure modes, selecting distribution forms and parameters, and optimizing distributions. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Serve as a key contributor to the development and maintenance of the CBM+ Program via the PANDA Platform
  • Collaborate with and mentor delivery team data scientists and analysts to ensure Reliability Engineering best practices are adopted across the Redhorse team, and consistently result in the best possible Remaining Useful Life predictions.
  • Calculate effects of Predictive Maintenance recommendations on platform availability and number of mission failures or aborts
  • Use potential impacts on platform availability and number of mission failures or aborts to inform prioritization of Work Unit Codes for which to develop Remaining Useful Life models
  • Support the Predictive Maintenance Alert Loop (PMAL) process
  • Coordinate with stakeholders to support discussions or activities driven by forecast thresholds or alerts
  • Continually seek and receive feedback from the USAF aviation maintenance community to improve AI/ML algorithms or make corrections to reported maintenance actions
  • Support the maintenance community during these steps should questions arise as to the maintenance alerts or forecasts and seek feedback from the community during the process as described above
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Aerospace, mechanical or systems engineering degree and proven experience working on DoD aircraft platforms as a reliability engineer.
  • Hold a Certified Reliability Engineer (CRE) status from the American Society for Quality (ASQ).
  • At least 15 years of progressive experience in systems, mechanical or aerospace engineering within DoD ACAT-1 Programs, including experience working within Reliability and Maintainability Engineering teams.
  • Able to calculate KPIs of availability and number of mission failures/aborts both predicted and actual
  • Understanding of associated Air Force supply chain and logistics processes
  • Understanding of Failure mode effects and criticality analysis
  • Understanding of Wiebull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities.
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Must have an active Secret clearance
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

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