Data Scientist

Summary

Join Western Digital's Analytics and Advanced Analytics Office (AAO) as a PhD Data Scientist to revolutionize how we respond to market dynamics, optimize supply, cost, and pricing, and enhance financial forecasting. You will collaborate with key stakeholders across various departments to develop cutting-edge analytics solutions. This role offers the opportunity to leverage cutting-edge Industrial 4.0 technologies and significantly impact revenue, profitability, and shareholder value. You will be working with an exceptional talent pool and have the chance to fundamentally transform how Western Digital operates. The position requires a PhD in a relevant field and extensive experience in advanced statistical methods, data analysis, and model development. Western Digital offers a comprehensive benefits package.

Requirements

• PhD in a field such as Economics & Data Science, Advanced Statistics, Applied Mathematics, or a related discipline
• Research experience in solving complex forecasting, risk management and cost or profit optimization problems
• Deep expertise in advanced statistical methods (e.g., Causal inference and Bayesian statistics), mathematical optimization, scenario planning, and simulations (e.g., Monte Carlo Simulations)
• Ability to handle large and complex datasets, with proficiency in SQL, Hadoop, Spark, and NoSQL databases
• Proficiency in programming languages such as Python, R, or similar for data analysis and model development
• Prior experience or aptitude to learn Machine Learning, Deep Learning, and Generative AI techniques
• Ability to quickly learn and apply new tools and technologies, particularly in data visualization (e.g., Power BI, Spotfire) and cloud platforms (e.g., Oracle Cloud, AWS, GCP)
• Strong interpersonal and communication skills with the ability to work effectively with cross-functional teams and present complex data-driven insights to non-technical stakeholders
• Critical thinking and an appetite to solve complex real-world problems

Responsibilities

• Develop probabilistic models that provide a range of possible demand outcomes with associated probabilities
• Update demand forecasts dynamically as new information becomes available, using Bayesian principles to incorporate uncertainty in a structured way
• Develop multiple scenarios based on different assumptions about future market conditions, demand trends, and external factors (e.g., macro-economic indicators, geo-political events)
• Use Monte Carlo simulations and other probabilistic models to quantify & minimize the risk of different demand scenarios on inventory levels, production schedules, and profitability
• Utilize financial econometrics to build models that support financial forecasting, including sales and revenue projections
• Apply advanced analytics and optimization techniques to pricing strategies, including price gap analysis and pricing optimization
• Acquire, cleanse, and transform large and complex datasets and analyze to extract actionable insights and support scenario planning & risk assessment models
• Work closely with Product Marketing, Supply Chain, Sales, and Finance teams to identify business challenges and develop data-driven solutions
• Stay up-to-date with the latest trends and technologies in econometrics, advanced statistics, game theory, and data science
• Contribute to the continuous improvement of processes, tools, and methodologies

Benefits

• Paid vacation time
• Paid sick leave
• Medical/dental/vision insurance
• Life, accident and disability insurance
• Tax-advantaged flexible spending and health savings accounts
• Employee assistance program
• Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity
• Tuition reimbursement
• Transit
• The Applause Program
• Employee stock purchase plan
• The Western Digital Savings 401(k) Plan
• Short-Term Incentive (STI) Plan
• Long-Term Incentive (LTI) program