Lead Data Scientist – Aviation Analytics & ML (Hybrid)

Panasonic Avionics Corporation; Irvine (CA); Hybrid; USD 142,000 - 238,000; Full time

Benefits offered by this job

Flexible-hybrid work

Unlimited PTO

Medical insurance

401K with 50% match

Job summary

Panasonic Avionics Corporation seeks a senior data science professional to lead complex analytics for aviation. You will build predictive and prescriptive models, work with internal and external data, and provide leadership with data-driven insights to direct business decisions.

The role requires collaboration across Data Engineering, Product, and business stakeholders. Ideal candidates will have strong Python/SQL, AWS experience, and a solid foundation in statistics and ML.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• 5+ years experience in modeling, forecasting, data analytics.
• 2+ years experience with AWS or other cloud platforms.
• Open-source AI experience preferred.
• Data Science Certifications preferred.
• Experience in aviation, transportation or IoT/telemetry data domain is a plus.

Responsibilities

• Lead analysis of complex, high-impact business problems using data from internal and external sources.
• Identify opportunities from aviation data and provide insights to leadership.
• Develop forecasts, recommendations, and strategic/tactical plans based on data.
• Create specifications for reports and analysis based on business needs and data elements.
• Mentor junior data scientists and collaborate with Data Engineering, Product, and stakeholders.

Skills

Python

SQL

AWS

Data science

Statistics

Communication

ML modeling

GenAI

Education

Bachelor’s degree in Computer Science

Masters degree preferred

Tools

Pandas

scikit-learn

AWS Cloud

R

SQL

Job description

Panasonic Avionics Corporation seeks a senior data science professional to lead complex analytics for aviation. You will build predictive and prescriptive models, work with internal and external data, and provide leadership with data-driven insights to direct business decisions.

The role requires collaboration across Data Engineering, Product, and business stakeholders. Ideal candidates will have strong Python/SQL, AWS experience, and a solid foundation in statistics and ML.