×
Register Here to Apply for Jobs or Post Jobs. X

Data Scientist II

Job in Irvine, Orange County, California, 92713, USA
Listing for: Panasonic Avionics Corporation
Full Time position
Listed on 2026-07-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 119000 - 200000 USD Yearly USD 119000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

Who we are:

Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight entertainment and communication products such as movies, games, live TV, WiFi and Internet services. We’re also expanding our award-winning GEO connectivity network into the LEO space.

How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry. And we are committed to a diverse and inclusive culture that will help our organization thrive!

We seek diversity in many areas such as background, culture, gender, ways of thinking, skills and more.

If you want to learn more about us visit us asonic.aero (). And for a full listing of open job opportunities go to (Use the "Apply for this Job" box below). ().

The position

Lead and analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate influences. Have strong predictive, statistical modeling skills. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements.

Provide consultation to users and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using system reporting tools.

Responsibilities What we're looking for
  • Modeling & Applied Statistics Build out predictive Machine Learning (ML) modeling using R and Python that harnesses customer and competitive analysis data to spot emerging trends and areas of opportunity, utilizes highly complex statistical modeling to make predictions about future outcomes and in multiple scenarios.
  • Help with building big data deployment infrastructure, expert in building Data Sources that can scale to handle huge data volume.
  • Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platform.
  • Employ the established Data Governance model including people, process, and technology to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance.
  • Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
  • Enthusiastic and principled about finding and applying the best practices related to dimension modelling and Bigdata analytics.
  • Programing Develops and/or uses algorithms and ML prescriptive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
  • Partner with business process experts and owners to build BI and leading indicators of operational benchmarks.
  • Work with cross-functional team to perform process & data analysis, identifying systems of record (SoR) and/or Single Point of Truth (SPOT), defining the Power Plant Configuration solutions & application architecture and deployment.
Knowledge/Skill Requirements
  • Experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Ability to deploy ML models to production environment.
  • Ability to take ambiguous sets of data and decipher meaning to tell a story or business case that drives business decisions is required.
  • Should be strong in AWS suite.
  • Strong predictive, statistical modeling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary