Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.
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.
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
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.
Top Skills
AI
Databricks
Machine Learning
Ml
Pyspark
SQL
Statistical Analysis
Similar Jobs
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
As a Senior Data Scientist, you will develop machine learning models, automate data pipelines, and implement AI solutions while collaborating with engineers and stakeholders to meet customer needs.
Top Skills:
Ci/CdDockerGitKubernetesPythonPyTorchScikit-LearnTensorFlow
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
As a Senior Data Scientist, you will collaborate with cross-functional teams to drive AI/ML product development, analyze user data, and influence product strategies.
Top Skills:
PythonSQL
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
This role involves developing and maintaining AI/ML models for supply chain optimization, predictive analytics, and automation, driving data-driven solutions and enhancing supply chain efficiency.
Top Skills:
CplexGenerative AiGurobiMicrosoft Azure Ai FoundryNatural Language ProcessingPandasPower AutomatePythonPyTorchScikit-LearnSQLTensorFlowUipath
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
