Data Scientist II

Lead Data Scientist

Overview: Panasonic Avionics Corporation is #1 in the industry for delivering inflight entertainment and communication products. We're expanding our award-winning network into the LEO space. 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. We are committed to a diverse and inclusive culture that will help our organization thrive!

The position: Lead and analyze complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identify and interpret trends and patterns in datasets to locate influences. Have strong predictive, statistical modeling skills. Construct forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Create 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

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.

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. 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 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 finance, Engineering, Analytics, or Information Management is required. (Masters in Analytics preferred) 5+ years equivalent experience in modeling, forecasting, data analytics. 2+ years' experience with AWS (Amazon Web Services) or other cloud. Open-source AI experience preferred. Data Science Certifications Preferred. Certified in AWS Cloud Preferred

Other Requirements

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

The salary range of $119,000 to $200,000 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. The minimum hourly wage for this role will be the greater of the posted range, or minimum.

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.