Senior, Data Scientist

About the Role

Key Responsibilities

• Stay up-to-date with the latest machine learning and deep learning algorithms (Transformers, Multi-modal models) that power Personalization and Recommendations on Walmart, involving complex statistics, probability, and optimization methods.
• Utilize pre-trained embedding models such as T5, CLIP, Bert, and RoBERTa, and apply them to customer understanding and product recommendations.
• Stay proficient with big data technologies such as Hive, Spark, Google Cloud Platform (GCP), VertexAI, and Map-Reduce framework, and develop algorithms to handle massive web-generated data for data-driven inferences.
• Stay updated with data science and software engineering technologies used within the team, including Java, Hive, Map-Reduce, Python, Bash scripting, and machine learning packages like Scikit-Learn, Numpy, PyTorch, XGBoost, NLTK, and GenSim.
• Leverage data visualization tools such as Matplotlib, Seaborn, Plotly, and GGplot to showcase results.
• Apply best practices for model testing and tuning to assess accuracy and fit for data science models, including techniques like Chi square, F1, ROC curve, and root mean square error.
• Work with agile scrum teams and adhere to software development best practices such as coding styles, peer code reviews, continuous integration with Jenkins, and deployment with OneOps.
• Research and innovate to develop new machine learning and artificial intelligence techniques when existing methods do not meet business objectives.
• Utilize Large Language Models and productionalize them at industry scale.
• Move-fast and break-fast using AI-assisted code (e.g., Copilot) to test numerous hypotheses.

Requirements

• MS/PhD in Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering, or related field.
• 2-4 years of relevant work experience in machine learning or data science.
• Deep background in NLP, Search Science, Recommendation Systems, Machine Learning, Deep Learning, Optimization, and Software development.
• Proficiency in Python, SQL, PySpark, and big data processing systems in cloud environments.
• Experience building ML models or delivering impactful customer-facing products as a tech lead and mentoring early-career data scientists.
• Experience with pre-trained embedding models such as T5, CLIP, Bert, and RoBERTa.
• Experience in data visualization tools like Matplotlib, Seaborn, Plotly, and GGplot.
• Expertise in model assessment and validation techniques.

Nice to Have

• Publication record in peer-reviewed conferences and journals or patent filings.
• Background in creating inclusive digital experiences and knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and digital accessibility best practices.
• Experience with open source frameworks such as scikit-learn, TensorFlow, and Torch.
• Successful completion of assessments in Python, Spark, Scala, or R.

Qualifications

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field with 3 years of experience.
• Option 2: Master’s degree in the same fields with 1 year of experience.
• Option 3: 5 years of experience in analytics or related field.

Benefits & Perks

• Competitive pay with performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits such as 401(k), stock purchase, and company-paid life insurance.
• Paid time off including PTO, sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits like short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program covering tuition, books, and fees.
• Annual salary range of $117,000.00-$234,000.00 plus additional bonuses and stock options.