Data Scientist IV

Data Scientist

Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity! 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 at

The position: Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight to decisions at the leadership level. Works directly with aviation and in-flight entertainment data to identify opportunities specific to that domain. 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. Sets direction for modeling approaches and mentors other data scientists on the team.

Responsibilities:

• Build, own, and defend predictive, classification, forecasting, and recommendation models using Python identifying emerging trends and business opportunities from customer, operational, and market data, while independently determining the 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
• 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

Knowledge/Skill Requirements:

• Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar)
• 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 environment
• Knowledge of Extract Transform Load (ETL), Data Architecture preferred
• Ability to mentor junior data scientists and colleagues

Education/Experience Requirements:

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred)
• 5+ years equivalent experience in modeling, forecasting, data analytics
• 2+ years' experience with AWS (Amazon Web Services) or other cloud platforms
• Open-source AI experience preferred
• Data Science Certifications Preferred
• Certified in AWS Cloud Preferred
• Experience in aviation, transportation or IoT/telemetry data domain is a plus

Other Requirements:

• May require travel up to 5% of the time to domestic and/or international locations

The salary range of $142,000 to $238,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives.

Our Principles: Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude

What we offer:

At Panasonic Avionics Corporation we realize the most important aspects in leading our industry are the bright minds behind everything we do. We are proud to offer our employees a highly competitive, comprehensive and flexible benefits program. We offer flexible-hybrid work opportunities. Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year plus a paid company-wide shut down in the U.S. between Christmas and New Year. Insurance: Medical insurance offerings from Aetna and Kaiser (CA &HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP. 401K with 50% match on up to 8% contribution, full vested from day 1 Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S.