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Data Scientist
4 weeks ago
Western Digital is seeking a highly skilled PhD Data Scientist to join our Analytics Solutions team. As a key member of our organization, you will collaborate with cross-functional teams to develop cutting-edge analytics solutions that drive significant impact on revenue, profitability, and shareholder value.
Key Responsibilities- Develop probabilistic demand forecasting models to provide a range of possible demand outcomes with associated probabilities.
- Conduct demand vs. supply scenario planning to develop multiple scenarios based on different assumptions about future market conditions, demand trends, and external factors.
- Utilize Monte Carlo simulations and other probabilistic models to quantify and minimize the risk of different demand scenarios on inventory levels, production schedules, and profitability.
- Build financial forecasting models to support sales and revenue projections.
- Apply advanced analytics and optimization techniques to pricing strategies, including price gap analysis and pricing optimization.
- Analyze large and complex datasets to extract actionable insights and support scenario planning and risk assessment models.
- Collaborate 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.
- 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, mathematical optimization, scenario planning, and 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 and cloud platforms.
- 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.
- A comprehensive package of benefits, including 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, and other voluntary benefit programs.
- A competitive salary and bonus structure, with opportunities for professional growth and development.
- A dynamic and inclusive work environment that values diversity, equity, and inclusion.
