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Mid LevelFull-timePythonAWSGCPAzureDockerMachine LearningData ScienceTensorFlowPyTorchCI/CD
Salary Range
$110,000 - $150,000 /year
About the Role
BETA Technologies is seeking a Data Scientist to join our Digital Products team. This role involves supporting test programs, fleet operations, and manufacturing processes by creating tools to extract insights from data, building machine learning models, and transforming data into structured datasets.
Key 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
- →Communicate with both technical and non-technical stakeholders, translating complex data concepts into understandable insights
- →Work collaboratively with the Data Science team on technical design and architectural decisions
- →Conduct code reviews to maintain code quality and uphold data science standards
- →Identify opportunities to eliminate manual workflows through automation and improved tooling
- →Write clean, well-tested, production-ready code with comprehensive documentation
Requirements
- ✓Master's degree in Data Science, Mathematics, or Computer Science, or equivalent practical experience
- ✓5+ years of professional Data Science experience building and maintaining production-grade machine learning models
- ✓Proficiency in Python with demonstrated ability to write clean, maintainable code
- ✓Experience with data manipulation libraries (Pandas, NumPy)
- ✓Proficiency in SQL and other database systems
- ✓Experience with machine learning frameworks (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 (AWS, GCP, or Azure) and their data services
- ✓Excellent problem-solving and analytical skills
- ✓Excellent written and verbal communication skills
- ✓A strong desire to learn and adapt in a fast-paced environment
