BETA TECHNOLOGIES · 3 weeks ago
Data Scientist - Digital Products
South Burlington, VT
Full-time
Onsite
Mid, Senior Level
$110K/yr - $150K/yr
5+ years expBETA Technologies is committed to revolutionizing electric aviation through data-driven solutions. They are seeking a talented Data Scientist to support their Digital Products team by creating tools to extract meaningful insights from data and building machine learning models to enhance fleet operations and manufacturing processes.
AerospaceAir TransportationBatteryMachinery ManufacturingManufacturing
Responsibilities
Maintain and develop data pipelines that extract, transform, and validate data from data lakes and other sources
Perform exploratory data analysis (EDA) to uncover trends and patterns
Build data exploration tools and dashboards for technical stakeholders
Develop, deploy and monitor machine learning models in production environments
Design and implement data quality checks and monitoring systems
Collaborate with cross-functional teams to address business problems with data-driven solutions
Effectively communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights and recommendations
Work collaboratively with the Data Science team on technical design and architectural decisions while engaging directly with users to understand needs and iterate on solutions
Take ownership of code and algorithms, ensuring thorough documentation and knowledge sharing to eliminate single points of ownership
Conduct code reviews to maintain code quality, share knowledge, and uphold data science standards across the team
Identify opportunities to eliminate manual workflows through automation and improved tooling
Write clean, well-tested, production-ready code with comprehensive documentation following engineering best practices
Qualification
Required
Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience
5+ years of professional Data Science experience building and maintaining production-grade machine learning models, data pipelines, dashboards, and analytical tools
Proficiency in a statistical programming language (e.g., Python) with demonstrated ability to write clean, maintainable code
Experience with data manipulation libraries (e.g., Pandas, NumPy)
Proficiency in SQL and other database systems for data extraction and aggregation
Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)
Knowledge of ETL/ELT processes, data pipeline design, and data modeling best practices
Experience with version control systems (Git), automated testing, and CI/CD practices
Experience with cloud platforms (e.g., AWS, GCP, or Azure) and their data services
Excellent problem-solving and analytical skills
Excellent written and verbal communication skills, with ability to present findings to non-technical stakeholders and collaborate effectively across cross-functional teams
A strong desire to learn and adapt in a fast-paced, dynamic environment
Preferred
Experience in aviation, aerospace, engineering, or manufacturing, with contextual domain knowledge related to the components of BETA Technologies
Experience with data pipeline orchestration tools (e.g., Airflow)
Experience with dashboard and visualization tools (e.g., Grafana, Tableau, PowerBI)
Experience with DBT Core to build, test, and maintain data models
Familiarity with large-scale data processing tools (e.g., Spark, Hadoop)
Experience with knowledge graphs and graph databases (e.g., Neo4j, Amazon Neptune)
Familiarity with containerization technologies (Docker)
Experience deploying and using monitoring and alerting tools (e.g., Cloudwatch, Grafana)
Company
BETA TECHNOLOGIES
Beta Technologies builds electric VTOL and CTOL aircraft, charging systems, and training programs focused on operational simplicity.
501-1000 employees
H1B Sponsorship
BETA TECHNOLOGIES has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
Funding
Current Stage
Public CompanyTotal Funding
$1.98BKey Investors
GE AerospaceState of MichiganQatar Investment Authority
2025-11-04IPO
2025-09-04Series C· $467.9M
2025-08-28Grant· $2.6M
Leadership Team
Blain Newton
Chief Information Officer
Kyle Clark
Team Member
Recent News
2026-01-08
2025-12-18
Crunchbase News
2025-12-17
Company data provided by crunchbase