Staff Data Scientist: Production ML & Systems Lead

Socket.dev; Santa Cruz (CA); On-site; USD 147,000 - 235,000; Full time

Job summary

Joby is seeking a Staff Data Scientist on the Data Analytics core team to lead production-grade data science solutions that influence the safety, reliability, and performance of our aircraft.

You will mentor engineers, craft scalable Python libraries, build insightful dashboards, and partner with Aerodynamics, Powertrain, and Manufacturing to translate sensor data into actionable intelligence.

Qualifications

• MS/PhD in CS, Eng, Stats, or equivalent experience.
• 10+ years of professional coding in data science/ML; proven leadership.
• Expert-level software engineering with scalable code.
• Proficiency in Python and core data science libraries.
• Advanced SQL and data modeling for analytics.
• Spark and cloud environments (Databricks).
• ML with PyTorch/Keras/TF.
• Troubleshoot complex issues across abstractions.
• Unix-based platforms, shell scripting, Git.
• Data pipelines, ETL, APIs, visualization.
• GenAI/MLOps experience; end-to-end delivery.
• Version control and CI/CD practices.

Responsibilities

• Collaborate with data scientists and cross-functional teams on software projects.
• Analyze sensor and time-series data from aircraft, simulators, and tests.
• Model complex systems using advanced statistics and ML methods.
• Architect and deploy end-to-end data science systems for production use.
• Define data analysis roadmaps and leverage data for strategic decisions.

Skills

Python

SQL

Machine Learning

Data Visualization

Big Data

Distributed Computing

Leadership

Mentoring

MLOps

Education

MS/PhD in CS/Engineering/Statistics

Tools

Python libraries: Pandas/NumPy/Scikit-learn

Spark

Databricks

Git

Job description

Joby is seeking a Staff Data Scientist on the Data Analytics core team to lead production-grade data science solutions that influence the safety, reliability, and performance of our aircraft.

You will mentor engineers, craft scalable Python libraries, build insightful dashboards, and partner with Aerodynamics, Powertrain, and Manufacturing to translate sensor data into actionable intelligence.