Western Digital Capital
New College Grad, PhD Data Scientist (Econometrics)
Western Digital Capital, San Jose, California, United States, 95199
New College Grad, PhD Data Scientist (Econometrics)
Full-timeJob Type (exemption status): Exempt positionSalary Range: 137,275.00-194,400.00Business Function: Data ScienceLocation (Secondary): Fremont OfficeAt Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. We are seeking a PhD Data Scientist to transform how we respond to market dynamics, optimize supply, cost, and pricing, and enhance our financial forecasting methods.In this role, you will collaborate with key stakeholders in Product Marketing, Sales, Finance, and Supply Chain to develop cutting-edge analytics solutions that drive significant impact on revenue, profitability, and shareholder value.Responsibilities:
Probabilistic Demand Forecasting : Develop probabilistic models that provide a range of possible demand outcomes with associated probabilities.Demand vs. Supply Scenario Planning : Develop multiple scenarios based on different assumptions about future market conditions.Simulations & Quantitative Risk Management : Use Monte Carlo simulations to quantify & minimize the risk of different demand scenarios.Financial Forecasting : Utilize financial econometrics to build models that support financial forecasting.Pricing Optimization : Apply advanced analytics and optimization techniques to pricing strategies.Data Analysis : Acquire, cleanse, and transform large datasets to extract actionable insights.Collaboration with Cross-Functional Teams : Work closely with teams to identify business challenges and develop data-driven solutions.Continuous Learning & Innovation : Stay up-to-date with the latest trends in econometrics and data science.Minimum Requirements:
PhD in Economics, Data Science, Advanced Statistics, Applied Mathematics, or a related discipline.Research experience in solving complex forecasting, risk management, and optimization problems.Deep expertise in advanced statistical methods and mathematical optimization.Ability to handle large datasets, with proficiency in SQL, Hadoop, and Spark.Proficiency in programming languages such as Python or R for data analysis.Prior experience or aptitude to learn Machine Learning and Deep Learning techniques.Strong interpersonal and communication skills.Critical thinking and an appetite to solve complex problems.Western Digital is committed to providing equal opportunities to all applicants and employees. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us.
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Full-timeJob Type (exemption status): Exempt positionSalary Range: 137,275.00-194,400.00Business Function: Data ScienceLocation (Secondary): Fremont OfficeAt Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. We are seeking a PhD Data Scientist to transform how we respond to market dynamics, optimize supply, cost, and pricing, and enhance our financial forecasting methods.In this role, you will collaborate with key stakeholders in Product Marketing, Sales, Finance, and Supply Chain to develop cutting-edge analytics solutions that drive significant impact on revenue, profitability, and shareholder value.Responsibilities:
Probabilistic Demand Forecasting : Develop probabilistic models that provide a range of possible demand outcomes with associated probabilities.Demand vs. Supply Scenario Planning : Develop multiple scenarios based on different assumptions about future market conditions.Simulations & Quantitative Risk Management : Use Monte Carlo simulations to quantify & minimize the risk of different demand scenarios.Financial Forecasting : Utilize financial econometrics to build models that support financial forecasting.Pricing Optimization : Apply advanced analytics and optimization techniques to pricing strategies.Data Analysis : Acquire, cleanse, and transform large datasets to extract actionable insights.Collaboration with Cross-Functional Teams : Work closely with teams to identify business challenges and develop data-driven solutions.Continuous Learning & Innovation : Stay up-to-date with the latest trends in econometrics and data science.Minimum Requirements:
PhD in Economics, Data Science, Advanced Statistics, Applied Mathematics, or a related discipline.Research experience in solving complex forecasting, risk management, and optimization problems.Deep expertise in advanced statistical methods and mathematical optimization.Ability to handle large datasets, with proficiency in SQL, Hadoop, and Spark.Proficiency in programming languages such as Python or R for data analysis.Prior experience or aptitude to learn Machine Learning and Deep Learning techniques.Strong interpersonal and communication skills.Critical thinking and an appetite to solve complex problems.Western Digital is committed to providing equal opportunities to all applicants and employees. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us.
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