Senior Data Scientist

Position Summary

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state‑of‑the‑art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision‑making through cutting‑edge data‑driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision‑makers.

By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, U.S. offers an extensive selection that our customers value, whether they shop online at .com, through one of our mobile apps, or in‑store. Focus areas include customers, stores and employees, in‑store service, merchant tools, merchant data science, and search and personalization.

• Develop data science systems and tools for retail; e‑commerce applications:
• Leverage LLMS to summarize and build large scale applications
• Establish cross‑functional relationships to maintain win‑win situation for the corporation
• Collaborate with various product stake holders and business owners to formulate and product ionize a solution.

• Master’s degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field.
  Must have qualifications...
• Experience with training and inference of large‑scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
• Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low‑Rank Adaptation (Lora), and Parameter‑Efficient Fine‑Tuning (PEFT) for cloud deployment.
• Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet
  , and related frameworks/tools.
• Hands‑on experience with RAG (Retrieval‑Augmented Generation), AI agent development
  , and frameworks such as Lang Chain, Langgraph etc.,

• Experience with Big Data processing and feature engineering using Spark
• Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
• Hands on experience of designing and training large DL models on GPU farm
• Problem solver with can‑do attitude, not afraid of facing new problems, technical challenges, delivery pressures
• Ability to clearly define problems, models and constraints from informal and flexible business requirements
• Form collaborative working environment.
• Demonstrated ability to manage multiple cross‑functional initiatives, balancing competing priorities and deadlines.
• Comfortable working in ambiguous, rapidly changing environments, with strong problem‑solving and adaptability.
• Benefits:
  Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

• Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
• Option 1
  - Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2
  - Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

• Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
• Data science, machine…