Description

Key Responsibilities/Accountabilities:

  • Work as an integral member within the Cadillac Global Strategy & Operations Team, with a focus on innovation and analytics providing a key data science component to support the development and execution of global strategy, research, innovation, and operations projects.
  • Provide strong connection and support to strategy and operations managers by developing analytical solutions to address and improve KPI’s and business results.
  • Pursues problem identification and impact across large vehicle populations, leveraging data mining, predictive modeling, simulation, and visualization techniques to further enhance insight and internal performance optimization.

 

Requirements:

  • Must have 8+ years of actual experience
  • 8+ years of experience using data to solve problems, hypothesis testing, and create visualizations and storytelling to address business problems
  • 8+ years of experience in data architecture and data base management
  • 8+ years of professional development experience
  • Solid experience with Big Data technologies in Data Bricks platform using Python/R
  • R or Python experience is mandatory
  • Master’s degree in STEM fields required.
  • Ph. D in STEM fields preferred.
  • Research/Data Science/Analytics Background
  • Sharp Technical/Statistical/Math skills
  • Strong data storytelling, communication and presentation skills
  • Displays curiosity and creativity
  • Ability to liaise with business leads and create tangible next steps from data to create better      business outcomes
  • Auto industry experience preferred, not mandatory

 

Conduct Advanced Data Analysis and Automation:

o   Perform in-depth analysis and design search patterns.

o   Develop automation tools for data mining and reduction.

Mentorship and Skill Development:

o   Mentor junior researchers and data scientists to enhance their analytical skills.

o   Foster a collaborative learning environment within the research and strategy team.

Stay Informed on Technological Advancements:

o   Continuously update knowledge on the latest software and hardware innovations and ideate on how to apply.

o   Identify and implement cutting-edge solutions to meet research and strategy objectives.

Collaborative Research and Statistical Application:

o   Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT.

o   Review research and strategy project requirements and apply appropriate statistical techniques to data.

Data Collection and Refinement:

o   Drive the acquisition of new data and refine existing datasets.

o   Ensure data quality and relevance for ongoing research and strategy projects.

Develop and Communicate Best Practices:

o   Create best practices for research instrumentation and experimentation.

o   Share these practices with peer teams to enhance research methodologies.

Support Complex and Real-Time Data Processing:

o   Develop analytics to support complex event processing and real-time data analysis in big data contexts.

Subject Matter Expertise in Research, Statistics, and Data Analytics:

o   Serve as an expert in predictive and prescriptive analytics.

o   Ensure research aligns with industry best practices and contributes to the field’s body of knowledge

Education

Master’s degree