Data Scientist Manager, Principal

Data Scientist - All Levels (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

Hiring 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

• Time Series Modeling / Forecasting

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

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, time series forecasting, and recommendation systems

• Maintain technical and business knowledge, mentor team members

Requirements

• 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

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 product ionize 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)

• Strong solution architecture mindset and problem‑solving skills

Nice‑to‑Have

Behavioral Qualifications

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

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