Data Science || Full time role || Sunnyvale,CA

Hi,

Please find the requirements below. If you feel comfortable with the role(s), kindly reply with your updated resume, and I will get back to you.

Data Science | Full-Time Role | Sunnyvale, CA | W2

Exclusive Positions

• Manager of Data Science
• Principal Engineer of Data Science
• Staff Engineer of Data Science

Must-Have Skills

• Generative AI
• Time Series experience (forecasting models)
• Prompt engineering and fine-tuning
• LLMs, RAG, BERT, GPT
• Appropriate leveling:
• Manager: Prior people management experience
• Principal: Senior-most technical contributor on the team
• Staff: At least lead-level experience

Manager of Data Science

Position Summary

Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Generative AI applications supporting the Walmart Finance department.

Responsibilities

• Build models that solve specific business outcomes using large-scale Walmart data and open-source or in-house tools
• Grow a team of domain experts in NLP, LLMs, time series forecasting, and recommendation systems across retail and e-commerce domains
• Drive execution of model and system development
• Collaborate with clients and cross-functional teams to deliver impactful solutions
• Stay up to date with ongoing research and development
• Partner with data scientists to design and architect AI/ML/DL systems
• Work with ML engineers to deploy, operate, and optimize scalable solutions

Qualifications

• Experience with NLP, LLMs, time series, and traditional ML techniques
• Retail and e-commerce data science experience
• Experience managing mid-sized teams of data scientists and MLEs
• Proven cross-functional leadership
• Strong organizational, communication, and influencing skills
• Detail-oriented and results-driven mindset

Principal Engineer of Data Science

Responsibilities

• Develop LLM-powered intelligent experiences using structured and unstructured data
• Build personalized, context-aware Q&A systems
• Design conversational recommendation systems using agent-based architectures
• Advance traditional recommender systems into interactive, multi-topic experiences
• Build multi-agent workflows that translate natural language into goal-driven tasks
• Collaborate with DS, MLE, Product, and UX teams
• Deploy, monitor, and optimize AI/ML systems in production
• Define and uphold responsible and trustworthy AI standards
• Contribute to internal and external AI/ML research

Qualifications

• Experience deploying high-risk NLP applications in production environments
• Strong background in Trustworthy AI and Responsible ML
• Mentorship experience for junior data scientists
• Strong foundation in statistics, optimization, and deep learning
• Advanced Python skills and experience with ML/DL frameworks (PyTorch, TensorFlow)
• Experience with ML infrastructure (MLflow, Kubeflow, Airflow – plus)

Bonus Skills

• Text-to-SQL or Text-to-Cypher systems
• LLM fine-tuning, prompt engineering, RAG
• Publications in top-tier ML/NLP conferences (NeurIPS, ICML, ACL, EMNLP, ICLR)

Staff Engineer of Data Science

Responsibilities

• Lead teams building large-scale Generative AI systems
• Develop data science tools for retail and e-commerce
• Leverage LLMs for summarization and large-scale applications
• Collaborate with product and business stakeholders to productionize solutions
• Build GenAI systems to support financial planning and decision-making

Qualifications

• Master’s or PhD in a quantitative field
• 5+ years of analytics or data science experience
• Strong solution architecture mindset
• Experience with training and inference of large-scale AI/ML models
• Expertise in LLM ecosystems (GPT, LLaMA, Mistral, Claude, Gemini, etc.)
• Hands-on experience with RAG, AI agents, LangChain, LangGraph

Nice to Have

• Spark and big data processing
• Cloud ML experience (Google Cloud Platform, Azure)
• GPU-based deep learning model training

Behavioral Skills

• Strong problem-solving mindset
• Comfortable with ambiguity and fast-paced environments
• Collaborative leadership style
• Ability to manage multiple cross-functional initiatives

Website:

Thanks & Regards,
Neeraj
IT Resource Manager
Pioneer IT Systems
Email:
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