This job has expired, please see additional jobs below
Sr. Director, Data Science
Panasonic
Pleasanton, CA, United States
Job Details - this job has expired, please see similar jobs below
The Sr. Director, Data Science will establish & direct a team that is responsible for designing, developing and maintaining aerospace operational models specific to the Panasonic Avionics Corporation (PAC) product suite including inflight consumer engagement platforms and inflight connectivity systems. The senior director plans and manages the activities of a team of data scientist, statisticians and data science programmers that produce models for use in operational systems and is a leader in advancing Panasonic Avionics vision and capabilities for delivering models to support core business goals.
Major Responsibilities
Data Science:
• Advance the team’s vision and bring vision to life, starting with roadmap development and prioritization, which may include items like a strategic KPI framework, customer portfolio optimization and planning, strategic site analysis (segments and pathing), measurement and attribution, AI platform evaluation and journey analytics
• Continuously innovate by staying abreast of and bringing recommendations on the latest tools and techniques (and evaluate options) associated with consumer personalization, AI/Machine learning, deep learning, real time decisioning, and digital analytics.
• Iterate quickly in an agile development process.
• Design, plan, and manage projects from start to finish & produce data-driven results with appropriate techniques to answer key business questions
• Use machine learning and predictive modeling to develop data driven solutions that drive substantial business value in key PAC product areas.
• Create and execute analytic solutions to improve and optimize business performance and minimize risk
Management:
• Mentor, lead, and grow a team of data scientists, analysts and data engineer who inform strategy, investment, and design and build solutions for machine learning, AI, and journey analytics, orchestration and personalization.
• Work with product management, product development, operations, customer support, and other internal stakeholders to define requirements, guide product and architectural vision, and prioritize efforts.
• Manage the day to day insights that the business relies on, including both analysis to identify trends and evaluate marketing (channel, media, offer, product/package, events) performance, AND data mining to inform audience and individual-level insights and treatment.
• Partner closely with cloud services team to communicate analytical capabilities and identify leverage points to all levels of the organization within and outside the organization.
Knowledge/ Skill Requirements
• Has global understanding of department’s mission and vision and the ability to communicate that to the teams to motivate and inspire them to work as a cohesive force.
• Able to define the correct data, analysis and interpretation to influence complex design and marketing initiatives.
• Experience with cloud based data analytics toolset & solutions for developing data products and services.
• Experience designing, building and managing large scale ML and analytics platforms in AWS, GCP or Azure.
• Proven technical ability with one or more of ML frameworks such as Caffe, MXNet & Tensorflow
• Proven technical ability with a variety of tools including SQL, Python and R. Commanding knowledge of statistics and or machine learning techniques. Applications in the game industry a plus.
• Knowledge of advanced statistical techniques suitable for analysis of highly skewed populations
• Proven experience in predictive & prescriptive analytics, segmentation, experimental design and related areas
• Ability to communicate complex statistical analysis in plain English and help your team develop clear and unambiguous visual reporting systems
• Experience designing, deploying and maintaining cloud based big data technology stacks (S3 data Lake, Amazon Redshift experience preferred)
• Experience with traditional Business Intelligence relational database modeling, tools and processes
• Familiarity with the design and implementation of data telemetry systems
Education/Experience Requirements
• 15 years+ experience in data science and analytics environment; should include experience in consumer/CRM analytics methods, measurement, attribution, test planning and rapid testing, strong knowledge of media analytics and addressable media measurement and testing, digital analytics, some B2B2C experience or knowledge, omni-channel lifecycle marketing orientation
• 7+year’s experience managing a high performing team.
• MBA preferred
Other requirements;
• Travel 20-30%
Location/Division: Pleasanton, CA 94588, USA Job Requisition: JW6639