Data Scientist IV

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. With over 40 years of history, we offer stability, career growth opportunities, and the chance to work with the brightest minds in the industry.

About the role

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 domain-specific opportunities. Identifies and interprets trends and patterns in datasets, constructs forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis, provides consultation to users, and leads cross-functional teams. 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 to identify emerging trends and business opportunities from customer, operational, and market data.
• Independently determine 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.
• Demonstrate sound knowledge in ETL and Data Warehouse concepts; experience with AWS cloud-based platforms.
• Employ the established Data Governance model to sustain Data Quality and implement necessary operating mechanisms for compliance.
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational and analytic processing applications.
• Develop and/or use algorithms and ML prescriptive models to evaluate scenarios and potential future outcomes.
• Apply analytical rigor and statistical methods to analyze large datasets using advanced techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design, 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 for rigor and consistency.
• Partner with Data Engineering, Product, and Business stakeholders to define the roadmap and shape what should be built.

Requirements

• Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar).
• Experience with AWS suite or similar cloud environments and tools for Data Science, AI, and ML.
• Ability to deploy ML models to production environments.
• 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 and statistical modeling skills.
• Ability to communicate effectively both written and verbally to internal and external clients.
• Ability to work independently with business users and cross-functional leaders.
• 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, Visio, and other software.
• Ability to work in a collaborative and fast-paced environment.
• Knowledge of Extract Transform Load (ETL) and Data Architecture preferred.
• Ability to mentor junior data scientists and colleagues.

Qualifications

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

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

Pay

The salary range for this role is $142,000 to $238,000. The final offer amount may vary based on factors including knowledge, skills, experience, and location. This role may also be eligible for discretionary bonuses and incentives.

Benefits

• Flexible-hybrid work opportunities.
• Unlimited PTO for exempt salaried employees; 14 vacation days, 7 sick days, and 3 personal days per year for non-exempt hourly employees (accrual rate increases with tenure).
• 11 company-paid holidays plus a paid company-wide shut down in the U.S. between Christmas and New Year.
• Medical insurance offerings from Aetna and Kaiser (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, fully vested from day 1.
• Wellness Program, Counseling services, FSA & HSA, Life Insurance, 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.