Key Responsibilities/Accountabilities:
Requirements:
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
Master’s degree