Data Scientist Manager, Principal

Data Scientist - All Levels (Manager, Principal, Staff)

Job Title: Data Scientist - All Levels (Manager, Principal, Staff)

• Sunnyvale, CA
• Bentonville, AR (relocation package available only for Bentonville)

Full Time

• Pre-screening
• Three virtual client rounds (plus an additional round for Manager level)
• Multiple interviews can be scheduled in one day

• 1 Manager of Data Science
• 1 Principal Engineer of Data Science
• 3 Staff Engineers of Data Science

• Time Series Modeling / Forecasting
• Managerial/leadership experience per level (Manager → mid‑size team, Principal → top of team, Staff → lead‑level experience)

• Lead a team of data scientists and ML engineers
• Build and deploy Gen AI and traditional ML applications for Walmart Finance
• Drive cross‑functional projects in NLP, LLM, time series forecasting, and recommendation systems
• Maintain technical and business knowledge, mentor team members

• Experience managing a mid‑size internal team of DS/MLEs
• Experience in NLP, LLMs, time series, traditional ML for retail/e‑commerce
• Strong organizational, interpersonal, and cross‑functional collaboration skills

• Develop LLM‑powered intelligent systems (Q&A, recommendations, autonomous agents)
• Collaborate cross‑functionally with DS, MLEs, UX, and product teams
• Deploy scalable AI/ML solutions, mentor junior DS
• Contribute to internal/external AI/ML research

• Proven deployment of high‑risk NLP applications in production
• Strong ML foundations (statistics, optimization, DL)
• Advanced proficiency in Python, ML/DS libraries, deep learning frameworks
• Familiarity with ML infra (Kubeflow, MLflow, Airflow)

• Text‑to‑SQL/Text‑to‑Cypher, recommender systems, fine‑tuning LLMs, publications in top‑tier ML/NLP venues

• Lead data‑driven projects for Finance using LLMs/Gen AI
• Build, deploy, and product ionize AI/ML solutions for large‑scale applications
• Collaborate cross‑functionally with stakeholders and business owners

• Master’s/PhD in Statistics, Analytics, CS, or related field with 5+ years experience
• Hands‑on experience with LLMs, Gen AI ecosystems (GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet)
• Strong solution architecture mindset and problem‑solving skills

• Adaptable, problem‑solver, technically strong, collaborative, able to manage multiple priorities