Senior Data Scientist

About the Organization Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets. About the Role Redhorse Corporation is seeking a Senior Data Scientist to support Condition-Based Maintenance Plus (CBM+) initiatives, leveraging AI/ML to enhance aircraft sustainment and optimize maintenance efficiency. The data scientist will help develop predictive maintenance and logistics forecasting models to support the development of decision-making tools for program-wide initiatives for all USAF RSO stakeholders. This role also includes working within mixed and multi-functional teams in an Agile development environment. Most importantly, we are working in a quickly changing environment, so we are hiring creative, motivated, and talented people with a passion for doing what’s right and what’s smart while building a solution that works. Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class. Accommodations: If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at [email protected] 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. Key Responsibilities Support program initiatives from inception to deployment, ensuring alignment with CBM+ business and mission objectives. Lead development and deployment of machine learning models, statistical analyses, and data experiments. Own the analytical framework, ensuring robustness, reproducibility, and scalability. Partner with domain experts to translate business questions into data-driven insights and products. Promote and refine standards for experimental design and analysis. Oversee data collection & processing, including implementation/sustainment of ETL pipelines, as well as cleaning and preprocess datasets for usage Perform EDA, to include, performing statistical analysis and visualization to understand data patterns, identifying correlations, trends, and insights to drive product development Lead ML model development using regression, classification, clustering, & deep learning while optimizing models for accuracy, performance, and scalability Collaborate with a multi-functional team to integrate models into applications or APIs Continuously monitor deployed models for performance drift and degradation. Required Qualifications US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current active Secret security clearance will not be considered for this role. Bachelor’s degree in a STEM field or proven equivalent professional experience. 4 years of experience including applied NLP, data labeling, entity or keyword extraction, and related topics Understanding and use of various statistical distributions and use for data modeling Ability to foster positive business relationships Strong communication skills capable of presenting technical findings to diverse audiences. Must be a motivated self-starter who can take direction and execute without constant monitoring. Experience with Databricks, PySpark, SQL, model engineering / ML Ops, and associated documentation/formatting Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications. Able to travel, as needed, to meet with government customers and stakeholders Preferred Qualifications Master’s degree in STEM field, ideally Data Science Advanced understanding of AI/ML applications in predictive maintenance/logistics Experience with sensor-based failure predictions and modeling Experience with Monte-Carlo simulation and calculation of confidence levels

{
  "content_hash": "99a3ac1b0d79780318c0370558a1649286c25aaf755d6fa3a41522db29e95f47",
  "source_hash": "16da675daa4855e65b4af7a8972f7577ad08e6c66ca54708f31d6cec10e0369b",
  "last_changed_at": "2026-05-29T07:07:35.330Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Remote",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:57:05.610Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Remote",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "lists": [
    {
      "text": "Key Responsibilities",
      "content": "<div>\n\n<li>Support program initiatives from inception to deployment, ensuring alignment with CBM+ business and mission objectives.</li>\n<li>Lead development and deployment of machine learning models, statistical analyses, and data experiments.</li>\n<li>Own the analytical framework, ensuring robustness, reproducibility, and scalability.</li>\n<li>Partner with domain experts to translate business questions into data-driven insights and products.</li>\n<li>Promote and refine standards for experimental design and analysis.</li>\n<li>Oversee data collection &amp; processing, including implementation/sustainment of ETL pipelines, as well as cleaning and preprocess datasets for usage</li>\n<li>Perform EDA, to include, performing statistical analysis and visualization to understand data patterns, identifying correlations, trends, and insights to drive product development</li>\n<li>Lead ML model development using regression, classification, clustering, &amp; deep learning while optimizing models for accuracy, performance, and scalability</li>\n<li>Collaborate with a multi-functional team to integrate models into applications or APIs</li>\n<li>Continuously monitor deployed models for performance drift and degradation.</li>\n\n</div>"
    },
    {
      "text": "Required Qualifications",
      "content": "<div>\n\n<li>US citizen with a Secret US government clearance. Applicants who are not US Citizens and who do not have a current active Secret security clearance will not be considered for this role.</li>\n<li>Bachelor’s degree in a STEM field or proven equivalent professional experience.</li>\n<li>4 years of experience including applied NLP, data labeling, entity or keyword extraction, and related topics</li>\n<li>Understanding and use of various statistical distributions and use for data modeling</li>\n<li>Ability to foster positive business relationships</li>\n<li>Strong communication skills capable of presenting technical findings to diverse audiences.</li>\n<li>Must be a motivated self-starter who can take direction and execute without constant monitoring.</li>\n<li>Experience with Databricks, PySpark, SQL, model engineering / ML Ops, and associated documentation/formatting</li>\n<li>Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.</li>\n<li>Able to travel, as needed, to meet with government customers and stakeholders</li>\n\n</div>"
    },
    {
      "text": "Preferred Qualifications",
      "content": "<div>\n\n<li>Master’s degree in STEM field, ideally Data Science</li>\n<li>Advanced understanding of AI/ML applications in predictive maintenance/logistics</li>\n<li>Experience with sensor-based failure predictions and modeling</li>\n<li>Experience with Monte-Carlo simulation and calculation of confidence levels</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1774889289410,
  "updatedAt": null,
  "categories": {
    "team": "National Security",
    "location": "Remote",
    "commitment": "Full-Time",
    "department": "National Security",
    "allLocations": [
      "Remote"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}