Walmart
Position Summary
Chance to work on financial data forecasting for complex retail problems/challenges. Utilize deep learning methods and architectures to build and deploy state-of-the-art forecasting systems. Will also be working on causal inference problems for scenario-based adjustment. About the Team
Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through data-driven solutions. We specialize in advanced time series forecasting and leveraging Generative AI to produce concise, insightful summaries for decision-makers. What you\'ll do
Lead high-caliber team to build large-scale time series forecasting systems Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training Develop data science systems and tools for retail and e-commerce applications Leverage large language models to summarize and build large-scale chat applications Train large-scale neural networks and deploy them as automated batch pipelines using Airflow Deploy large-scale forecasting pipelines modeling thousands of time series using batch pipelines Establish cross-functional relationships to maintain win-win outcomes for the corporation Collaborate with product stakeholders and business owners to formulate and productionize a solution What you\'ll bring
Masters degree or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics-related field. Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years\' experience in analytics Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years\' experience in analytics Option 3: 7 years\' experience in analytics or related field Preferred Qualifications
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics; publications or active peer reviewer in related journals or conferences. Experience with Python, Spark, Scala, or R; open-source frameworks such as scikit-learn, TensorFlow, or PyTorch. Knowledge of accessibility best practices and WCAG 2.2 AA standards is valued. Primary Location
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America Benefits and Equal Opportunity
Walmart benefits include health, 401(k) match, stock purchase plan, paid leave, and more. Walmart is an Equal Opportunity Employer. We are committed to an inclusive culture and support a diverse workforce. The information provided is intended to indicate the general nature and level of work performed; it is not a comprehensive inventory of all responsibilities and qualifications.
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Chance to work on financial data forecasting for complex retail problems/challenges. Utilize deep learning methods and architectures to build and deploy state-of-the-art forecasting systems. Will also be working on causal inference problems for scenario-based adjustment. About the Team
Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through data-driven solutions. We specialize in advanced time series forecasting and leveraging Generative AI to produce concise, insightful summaries for decision-makers. What you\'ll do
Lead high-caliber team to build large-scale time series forecasting systems Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training Develop data science systems and tools for retail and e-commerce applications Leverage large language models to summarize and build large-scale chat applications Train large-scale neural networks and deploy them as automated batch pipelines using Airflow Deploy large-scale forecasting pipelines modeling thousands of time series using batch pipelines Establish cross-functional relationships to maintain win-win outcomes for the corporation Collaborate with product stakeholders and business owners to formulate and productionize a solution What you\'ll bring
Masters degree or PhD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years experience in an analytics-related field. Minimum Qualifications
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years\' experience in analytics Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years\' experience in analytics Option 3: 7 years\' experience in analytics or related field Preferred Qualifications
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics; publications or active peer reviewer in related journals or conferences. Experience with Python, Spark, Scala, or R; open-source frameworks such as scikit-learn, TensorFlow, or PyTorch. Knowledge of accessibility best practices and WCAG 2.2 AA standards is valued. Primary Location
2501 Se J St, Ste A, Bentonville, AR 72716-3724, United States of America Benefits and Equal Opportunity
Walmart benefits include health, 401(k) match, stock purchase plan, paid leave, and more. Walmart is an Equal Opportunity Employer. We are committed to an inclusive culture and support a diverse workforce. The information provided is intended to indicate the general nature and level of work performed; it is not a comprehensive inventory of all responsibilities and qualifications.
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