Asa Staff Data Scientist on the Data Analytics core team, you will be a technical leader responsible for deriving critical insights that directly influence the safety, reliability, and performance of ouraaircraft. This role goes beyond analysis; you will architect and build scalable, production-grade data science solutions, translating complex data from flight tests, manufacturing, and operations into actionable intelligence. You will serve as a mentor and a key technical voice, working across highly technical disciplines to define data strategy and solve our most challenging problems. The ideal candidate is a proactive and seasoned expert who thrives on ambiguity, is passionate about building robust systems, and is excited to apply their skills to the future of transportation.a

Responsibilitiesa

• Collaborate with data scientists, other cross-functionalateamsaand subject matter experts on software engineering projectsa

• Conduct data analysis and interpret sensor data fromaa number ofaphysical processes (aircraft, simulators, reliability test equipment, subsystem tests, etc.)aa

• Understand both data systems and physical systems, analyzing high-frequency time-series data from flight tests, battery systems, acoustic sensors, and manufacturing processes toaidentifya patterns, anomalies, and performance trendsa

• Leverage advanced statistical methods, signal processing, and machine learning to fuse disparate data sources and build comprehensive models of complex physical systemsa

• Architect, design, and lead the development of scalable, end-to-end data science and machine learning systems for production usea

• Define the technical roadmap for data analysis and predictive modeling within key areas of the business,aidentifyinga new opportunities toaleveragea data for strategic advantagea

• Establish and champion best practices for software engineering,aMLOps, and data modeling within the data science teama

• Mentor and guide junior and senior data scientists, elevating the technical capabilities of the entire team through code reviews, design discussions, and knowledge sharinga

• Act as a key technical liaison between the data team and other engineering departments (e.g., Aerodynamics, Powertrain, Manufacturing), translating business needs into technical requirementsa

• Develop robust, maintainable, and well-tested Python libraries and tools to automate data processing and analysis pipelinesa

• Design and build insightful dashboards and visualizations to communicate findings clearly to both technical and non-technical stakeholdersa

• Present complex analytical results and strategic recommendations to engineering teams and executive leadership, driving data-informed decision-makinga

• Comfortable navigating a quickly changing environment and willing to learn on-the-fly to obtain and define requirementsa

• Stay current with advancements in software and data engineeringa

Requirementsa

• M.S. or Ph.D. in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent experiencea

• 10+ years of professional,ahands onacoding experience in data science and machine learning or a related role, with a demonstratedatrack recordaof leading complex projects from ideation to production deploymenta

• Expert-levelasoftware-engineering: deepaexpertiseain architecting and writing clean, scalable, and maintainable code. You are a thought leader in software design patterns and best practicesa

• Expertaproficiencyain Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn)a

• Advanced SQL and data modeling experience writing complex, performant SQL queries and designing efficient data models and pipelines for analytical purposes
• Advanced proficiency in Spark and distributed computing frameworks, with experience in cloud environments like Databricks

• Strong background in data science, dataaanalysisaand visualization (algorithms, data structures, and architectures), probability, statistics, and predictive modelinga

• Strong background in Machine Learning using packages such asaPyTorch,aKerasaor TensorFlowa

• Ability to troubleshoot complex issues across multiple levels of abstractiona

• Proficiencyawith Unix-based platforms, shell scripting, and Git source controla

• Experience with data pipeline architectures, ingestion, ETL, transformations, analytics, APIaconnectorsaand visualizationa

• Strong experience with development and Ops for GenAI LLMs and Machine Learning, with a past record of successful projects delivery end-to-endaa

• Expert use ofaIDEaasafor authoring,arefactoringaand debugging codea

• Ability to navigate a quickly changing environment, independently tackle ambiguous problems, and deliver high-impact solutions with limited supervisiona

• Experience leading projects from conception to completiona

• Proven ability to communicate complex technical concepts to diverse audiences, from junior engineers to executive leadershipa

• Direct experience with anomaly/outlier detection in high-frequency time-series sensor dataa

• Experience developing and deploying models in a production environment using modernaMLOpsaprinciples and tools (e.g.,aMLflow, Kubeflow)a

• Experience with version control and CI/CD platforms, able to manage your software through its entire lifecycle (development, testing, deployment)a

• Familiarity with physics-based modeling, digital twins, or advanced signal processing techniquesa

• Experience with cloud platforms (AWS, GCP, Azure) and Infrastructure as Code (IaC) tools like Terraform or Kubernetesa

• Experience in the aerospace, automotive, battery technology, or another hardware-intensive industrya

Compensation at Joby is a combination of base pay and Restricted Stock Units (RSUs). The target base pay for this position is $147,200 - $234,500/yr. The compensation package will be determined by job-related knowledge, skills, and experience.

Joby also offers a comprehensive benefits package, including paid time off, healthcare benefits, a 401(k) plan with a company match, an employee stock purchase plan (ESPP), short-term and long-term disability coverage, life insurance, and more.