Data & Research Scientist (Technical Data Analyst) - MI or TX Locals Preferred

Securekloud Technologies - Austin, TX

Full-time - Mid Level

Austin, TX

Publishing Industries

About the position

The Data & Research Scientist (Technical Data Analyst) position at Securekloud is focused on leveraging data analytics to support the Cadillac Global Strategy & Operations Department. The role involves problem-solving through data, hypothesis testing, and creating visualizations to address business challenges. The ideal candidate will have extensive experience in data architecture, big data technologies, and a strong background in research and analytics, contributing to the development and execution of global strategies and operations projects.

Responsibilities

• Work as an integral member within the Cadillac Global Strategy & Operations Team, focusing on innovation and analytics.
• Develop analytical solutions to improve KPIs and business results for strategy and operations managers.
• Identify problems and impacts across large vehicle populations using data mining, predictive modeling, simulation, and visualization techniques.
• Conduct advanced data analysis and design search patterns.
• Develop automation tools for data mining and reduction.
• Mentor junior researchers and data scientists to enhance their analytical skills.
• Stay informed on technological advancements and implement cutting-edge solutions.
• Establish strong working relationships with interdisciplinary teams including Enterprise Data and Analytics and IT.
• Drive the acquisition of new data and refine existing datasets to ensure quality and relevance.
• Create best practices for research instrumentation and experimentation and share with peer teams.
• Develop analytics to support complex event processing and real-time data analysis in big data contexts.
• Serve as an expert in predictive and prescriptive analytics and ensure alignment with industry best practices.
• Use structured approaches for communicating data insights through data storytelling.

Requirements

• 8+ years of actual experience in data analysis and research.
• Experience using data to solve problems, hypothesis testing, and creating visualizations.
• Experience in data architecture and database management.
• Solid experience with Big Data technologies in Data Bricks platform using Python/R.
• Master's degree in STEM fields is required.
• Ph.D. in STEM fields is preferred.
• Strong technical, statistical, and mathematical skills.
• Excellent data storytelling, communication, and presentation skills.
• Ability to liaise with business leads and create actionable insights from data.

Nice-to-haves

• Auto industry experience preferred, but not mandatory.