Lead Data Scientist

Beehive Industries; Loveland (OH); Remote; USD 140,000 - 218,000; Full time

Job summary

An innovative firm is seeking a Data Scientist to tackle complex challenges through intelligent systems design and big data analysis. In this collaborative role, you will develop end-to-end data solutions that bridge human direction with machine understanding, enhancing product performance and providing actionable insights. Join a team that values innovation and decision-making, where your contributions will directly impact the future of unmanned aerial defense systems. This position offers a chance to work with cutting-edge technology in a supportive environment focused on growth and excellence.

Benefits

Medical Insurance

Dental Insurance

Life Insurance

Disability Coverage

401(k) Retirement Plan

Bonus Eligibility

Equity in the Company

Qualifications

• 9+ years of experience in data science required.
• Experience with AI/ML systems and scalable deployment.
• Strong understanding of data architecture and automation.

Responsibilities

• Design and develop systems for analyzing high-volume data.
• Build automation pipelines for seamless communication.
• Develop predictive models and machine learning tools.

Skills

Python

SQL

Data Science Tools (pandas, NumPy, scikit-learn, TensorFlow)

Machine Learning

Data Visualization (Tableau, Power BI)

Data Architecture

Automation

Cloud Platforms (AWS, Azure, GCP)

Education

Bachelor's Degree in Data Science

Master’s Degree in Data Science

Degree in Computer Science or Engineering

Tools

Tableau

Power BI

MLOps Tools

Job description

Beehive Industries is dedicated to Powering American Defense by revolutionizing the design, development, and delivery of jet propulsion systems to support the warfighter. Through the integration of additive manufacturing, the company aims to meet the growing and urgent needs for unmanned aerial defense by dramatically improving a jet engine’s speed to market, fuel efficiency, and cost.

• Founded in 2020, the company is headquartered in Englewood, Colorado, with additional facilities in Knoxville, Tennessee, Loveland Ohio, and Mount Vernon, Ohio. Beehive is committed to grow and advance the defense industrial base while manufacturing exclusively in the USA. This role will be located at one of our Englewood, Colorado, Knoxville, Tennessee or Loveland, Ohio facilities. This can also be remote.

Role Overview:

We’re looking for a Data Scientist who thrives on solving complex problems through intelligent systems design, big data analysis, and automation. In this role, you will develop end-to-end data solutions that enable human direction to be interpreted by machines and vice versa—ultimately enhancing product performance and delivering deeper insights to our teams.

This is a highly collaborative role that works closely with engineering, product, and service teams to turn massive and diverse data sets into practical intelligence that supports innovation and decision-making.

Responsibilities:

• Design, develop, and program methods and systems that consolidate and analyze unstructured, high-volume data from disparate sources
• Build infrastructure and automation pipelines that enable seamless communication between systems
• Develop and implement statistical models, algorithms, and machine learning tools to generate predictive insights
• Support machine learning engineers by building robust and scalable data pipelines and frameworks
• Act as a bridge between human input and machine understanding—translating ambiguous direction into structured processes
• Leverage AI tools to improve human-in-the-loop interactions and intelligent automation
• Create automated processes to clean, merge, and evaluate large and varied datasets
• Ensure data quality, consistency, and usability across all platforms
• Design dashboards and visualizations to highlight key metrics and outcomes
• Clearly interpret and communicate complex findings to business, service, and product stakeholders

Requirements:

• 9 years of experience in data science
• Bachelor's or Master’s degree in Data Science, Computer Science, Engineering, or related field
• Proficient in Python, SQL, and tools/libraries for data science (e.g., pandas, NumPy, scikit-learn, TensorFlow, etc.)
• Experience developing data tools for cross-functional teams
• Background in AI/ML systems with emphasis on scalable deployment and human-in-the-loop workflows
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools
• Hands-on experience working with large, unstructured, and structured datasets
• Strong understanding of data architecture, automation, and model deployment
• Experience with data visualization tools like Tableau, Power BI, or custom dashboards
• Ability to translate technical findings into clear, actionable business insights

If this sounds like you, please submit an application with your resume. This could be the opportunity you are looking for to expand your skills, contribute to a winning team, and work with talented people who love what they do and take pride in our mission.

In compliance with Colorado’s Equal Pay for Equal Work Act, the salary range for this position is $ 140,487 – $217,766 base salary. Please note that wage information is a general guideline only, and we will consider factors such as (but not limited to) scope and responsibilities of the position, candidate’s work experience, education/training, key skills, and market conditions when extending an offer.

Beehive Industries offers a comprehensive benefits package that includes group Medical, Dental, Life,and Short and Long-Term disability coverage from day one. We also offer a generous 401(k) Retirement Savings Plan with a Company match.Every role at Beehive Industries is bonus eligible, and will also receive equity in the company.

Beehive Industries is committed to full compliance with applicable anti-discrimination laws. We are an equal opportunity employer and value diversity at our company. We strive to create an inclusive work environment and will not discriminateon the basis ofrace, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.