Research Data Scientist, Phd

Job Description
Product Leadership Development Program, Flash Business Unit
You are self-propelled to unlock the potential of data and drive a digital transformation with it You are insatiably curious in discovering new ways to infuse data-driven decision making into a business. You are enthralled to solve complex problems such as using AI/ML to digitize the capital allocation process for fab development at planet scale. You exemplify and continually strive to exemplify the best of your domain. You are a legacy builder who develops strategic assets that live and serve beyond you. You are a go-getter who thrives in a dynamic environment. If these represent you, then the Product Leadership Development Program in the Flash Business Unit of Western Digital is looking for a PhD Data Scientist.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Exemplify as a technology thought leader for the Flash Business Unit.
Utilize advanced statistical and mathematical techniques to analyze complex datasets and extract meaningful insights to inform strategic decision making.
Design, implement, and optimize algorithms for predictive modeling, machine learning, and data mining tasks.
Be recognized as a legacy builder delivering innovative AI/ML solutions to address business challenges and enhance data-driven decision-making capabilities.
Be insatiably curious about latest advancements in data science, machine learning, and related fields. Conduct research to explore how these new methodologies, techniques, and tools that can enhance data analysis and modeling processes.
Design and develop ML data pipelines to serve model insights in real-time and at scale.
Utilize cutting edge ML techniques to develop algorithms and predictive systems used for economic planning and capital allocation;
transfer such algorithms to production.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions, work effectively with engineers on technology transfers.
Communicate complex technical concepts and findings effectively to non-technical stakeholders through visualizations and data-driven story telling.
Develop rigorous validation frameworks to assess the performance and robustness of predictive models. Conduct thorough evaluations to ensure the reliability and accuracy of analytical results.
Be a go-getter and be technically unbounded.