Data Scientist IV

Overview

Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity!

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.

If you want to learn more about us, visit us asonic.aero. And for a full listing of open job opportunities go to

Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight todecisionsat the leadership level.

Works directly with aviation and in-flight entertainment data toidentifyopportunities specific to that domain. Identifies and interprets trends and patterns in datasets tolocateinfluences. 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. Sets direction for modelingapproachesand mentors other data scientists on the team.

• Build, own, and defend predictive, classification, forecasting, and recommendation models using Pythonidentifyingemerging trends and business opportunities from customer, operational, and market data,while independentlydeterminingthe modeling approach and technique for a given problem
• Partner with Data Engineering on data infrastructure needs, translating modeling and analytics requirements into scalable data sources.
• Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platforms.
• 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.
• Programming 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.
• Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team
• Partner with Data Engineering, Product, and Business stakeholders to help define what should be built, shaping the roadmap rather than just executing against it.

• Strong hands-on Pythonand SQLskills for data science (pandas, scikit-learn, and similar).
• Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
• Ability to deploy ML models to production environment.
• Able to take ambiguous data and turn it into a clear business case, and present that case persuasively to both technical and non-technical audiences.
• Solid grounding in statistics: hypothesis testing, regression, experimental design (A/B testing).
• Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
• 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 multiple audiences.
• Advanced expertise using data analytic software such as R, Python, SQL.
• Expert knowledge of Microsoft productivity tools:
  Excel, Word, and Visio and other software is necessary.
• Ability to work in a collaborative environment and fast paced…