Senior Data Scientist — Aerospace Data & Production ML

Beehive Industries, LLC; Centennial (CO); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Life insurance

Disability coverage

401(k) with company match

Equity in company

Bonus eligibility

Job summary

Beehive Industries in Centennial, CO seeks a Senior Data Scientist to design, build, and maintain data pipelines and analytics infrastructure supporting aerospace engineering and manufacturing operations.

You will partner with IT, Engineering, and Manufacturing leaders to develop reliable data architecture, production-grade ML solutions, and data science tooling within Beehive’s Foundry-based digital stack, ensuring secure, traceable, and scalable implementations.

Qualifications

• Bachelor's or master's in a technical field and 5+ years leading software/AI projects.
• Experience designing production-grade data pipelines and analytics.
• Strong data governance, metadata, lineage, and data quality practices.
• Experience with regulated environments and cybersecurity considerations.

Responsibilities

• Design and develop scalable data pipelines and ETL processes to ingest, transform, and load data from diverse aerospace manufacturing systems and enterprise applications
• Build and optimize data models in Palantir Foundry to support analytics, reporting, and machine learning use cases using Python, SQL, statistical methods, machine learning, LLMs, optimization, and analytical software engineering practices.
• Collaborate with data analysts, scientists, and business stakeholders to understand data requirements and implement solutions that drive actionable insights
• Build and deploy models and analytical tools supporting applications such as print anomaly detection, quality forecasting, financial insight, process optimization, production scheduling, and engine performance analysis.
• Move concepts beyond prototypes by engineering them for production reliability, maintainability, scalability, security, and operational adoption.
• Optimize database performance and manage data infrastructure to support high-volume, real-time data processing
• Document data architectures, pipelines, and processes to ensure knowledge transfer and operational continuity
• Participate in code reviews, contribute to engineering best practices, and mentor junior team members
• Support troubleshooting and resolution of data-related issues in production environments
• Collaborate with data owners and subject-matter experts to define authoritative datasets, shared metrics, business logic, and common data definitions.
• Partner with IT and cybersecurity teams to ensure data science solutions align with enterprise architecture, infrastructure, security, and support requirements.
• Evaluate emerging technologies and technical approaches that can improve Beehive’s analytical and digital engineering capabilities.
• Enable improved visibility into production health, manufacturing performance, and engine test data.
• Develop analytical applications that are intuitive, actionable, and aligned with the needs of end users.
• Develop automated testing and validation frameworks for data transformations, models, analytical applications, and decision-support tools.
• Ensure solutions are designed with appropriate configuration control, documentation, auditability, and change management.
• Support adoption of data-driven decision-making by translating technical outputs into clear operational insights and recommendations.

Skills

Python

SQL

Data modeling

Data pipelines

Cloud platforms

MLOps

Machine learning

Stakeholder collaboration

Security clearance eligibility

Education

Bachelor’s or Master’s degree in Computer Engineering, Computer Science, Software Engineering, AI, or related field

Tools

Palantir Foundry

SQL tooling

Job description

Beehive Industries in Centennial, CO seeks a Senior Data Scientist to design, build, and maintain data pipelines and analytics infrastructure supporting aerospace engineering and manufacturing operations.

You will partner with IT, Engineering, and Manufacturing leaders to develop reliable data architecture, production-grade ML solutions, and data science tooling within Beehive’s Foundry-based digital stack, ensuring secure, traceable, and scalable implementations.