Data Scientist - Manager, Principal, Staff

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

Locations

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

Duration: Full Time

IV Process:

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

Positions Available (Exclusive):

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

Core Must-Have Skills Across All Levels

• Generative AI (Gen AI)
• Large Language Models (LLM, GPT, BERT, RAG)
• Time Series Modeling / Forecasting
• Prompting & Fine-Tuning
• Managerial/leadership experience per level (Manager → mid-size team, Principal → top of team, Staff → lead-level experience)

Role-Specific Job Description

Manager of Data Science

Responsibilities:

• 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, timeseries forecasting, and recommendation systems
• Maintain technical and business knowledge, mentor team members

Requirements:

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

Principal Data Scientist

Responsibilities:

• 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

Requirements:

• 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)

Bonus Skills:

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

Staff Engineer of Data Science

Responsibilities:

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

Requirements:

• 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)
• RAG, AI agent development, LangChain, LangGraph
• Strong solution architecture mindset and problem-solving skills

Nice-to-Have:

• Big Data/Spark experience, Cloud ML (GCP, Azure), GPU DL training

Behavioral Qualifications:

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