BETA Technologies is looking for a Data Scientist to support expanding test programs, fleet operations, and manufacturing processes by creating tools to extract meaningful insights from data, building machine learning models, and transforming data to create derived, structured datasets.
Requirements
- 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
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
- 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
Other
- Master's degree in a related field (Data Science, Mathematics, Computer Science) or equivalent practical experience
- 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
- Employment offers are contingent upon the successful completion of a background check.
