(USA) Staff, Data Scientist

About the Role

Key Responsibilities

• 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 LLMS 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 situations for the corporation
• Collaborate with various product stakeholders and business owners to formulate and productionize solutions

Requirements

• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5+ years experience in an analytics related field
• Deep understanding of optimization theory, neural network inner workings, and attention architecture
• Proven track record of solving large scale business problems using neural networks utilizing distributed systems
• Demonstrated ability of research in previous work experience
• Familiarity with common DL packages and ML packages such as Pytorch, Keras, Tensorflow, Scikitlearn, and statsmodels
• Strong software development skills in languages such as Python, SQL, R, Scala, Java

Nice to Have

• Experience with Big Data processing and feature engineering using Spark or Ray
• Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
• Hands-on experience of designing and training large DL models on GPU farm
• Knowledge on LLM is a plus

Qualifications

• Option 1: Bachelors degree in related field and 4 years' experience in analytics
• Option 2: Masters degree in related field and 2 years' experience in analytics
• Option 3: 6 years' experience in analytics or related field

Benefits & Perks

• Incentive awards for performance
• 401(k) match
• Stock purchase plan
• Paid maternity and parental leave
• Paid time off (PTO)
• Multiple health plans
• Health benefits including medical, vision, and dental coverage
• Financial benefits including 401(k), stock purchase, and company-paid life insurance
• Paid time off benefits including sick leave, parental leave, family care leave, bereavement, jury duty, voting
• Other benefits such as short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement
• Walmart-paid education benefit program Live Better U