Data Scientist II

Based in Irvine, California with a hybrid work arrangement, the Data Scientist II role leads advanced data analysis and predictive modeling, builds forecasts and reports, and partners with cross-functional teams to deliver data-driven insights for decision-makers. A bachelor’s degree and at least five years of experience are required, with a salary range of USD 119,000 to 200,000 per year.

Overview

Panasonic Avionics Corporation specializes in inflight entertainment and connectivity solutions, delivering products such as movies, games, live TV, WiFi, and Internet services. The company is expanding its GEO connectivity network into the LEO space and, with a history spanning more than four decades, offers stability, growth opportunities, and a culture that values diversity and collaboration. For more information, visit panasonic.aero and the join-us page for current opportunities.

Our Principles

• Contribution to Society
• Fairness and Honesty
• Cooperation and Team Spirit
• Untiring Effort for Improvement
• Courtesy and Humility
• Adaptability
• Gratitude

Responsibilities

• Lead analysis of complex business challenges using internal and external data to provide actionable insights for decision-makers.
• Identify and interpret trends and patterns within datasets to uncover key drivers.
• Demonstrate strong capabilities in predictive analytics and statistical modeling.
• Develop forecasts, recommendations, and strategic or tactical plans grounded in data and market context.
• Define specifications for reports and analyses aligned with business needs and available data elements.
• Offer guidance to users and lead cross-functional teams to address business issues.
• Directly produce datasets and reports for analysis using enterprise reporting tools.

Requirements

• Experience with AWS Cloud or similar platforms and tools used for data science, AI, and ML initiatives.
• Ability to deploy machine learning models into production environments.
• Skill to interpret ambiguous data and translate it into a compelling business narrative that informs decisions.
• Proficiency with the AWS ecosystem and related services.
• Strong predictive modeling and statistical analysis capabilities.
• Effective written and oral communication with internal and external clients.
• Ability to work independently with business users and cross-functional leaders.
• Comfort with solving high ambiguity through data science approaches.
• Capability to create and deliver clear presentations to diverse audiences.
• Advanced expertise in data analytics tools such as R, Python, and SQL.
• Expert knowledge of Microsoft productivity tools, including Excel, Word, and Visio.
• Ability to thrive in collaborative, fast-paced environments.
• Knowledge of Extract, Transform, Load (ETL) processes and data architecture is preferred.
• Ability to mentor junior data scientists and colleagues.

Technologies

• R
• Python
• SQL
• AWS
• Excel
• Word
• Visio

Benefits

• Flexible hybrid work opportunities.
• Paid time off policy for exempt employees includes unlimited PTO; non-exempt hourly staff accrue vacation, sick, and personal days, with accruals increasing with tenure. The company also observes 11 holidays annually and a paid company-wide closure between Christmas and New Year.
• Medical coverage from Aetna and Kaiser in California and Hawaii, with plan options for individuals and families, plus Dental PPO/DMO and Vision options.
• 401(k) plan with a 50 percent match on up to 8 percent contributions, fully vested from day one.
• Additional programs include wellness, counseling services, FSA and HSA, life and disability insurance, critical illness, legal assistance, pet insurance, identity protection, dependent care, and education assistance, among others.

Other Requirements

May require travel up to 5 percent of the time to domestic and international locations.