Data Scientist II

The Data Scientist is crucial in leveraging data to derive meaningful insights and solutions for complex business problems. This individual will lead and guide the data science team in developing advanced analytical models, algorithms, and statistical analyses. They will collaborate with cross-functional teams to identify opportunities for leveraging data-driven solutions, making strategic decisions, and enhancing overall business performance. The Data Scientist will be responsible for designing and implementing machine learning models, conducting data exploration, and communicating findings to non-technical stakeholders.

Primary Responsibilities

• Collaborate with business stakeholders to understand and translate their goals into AI and data science initiatives.
• Lead the development and implementation of LLM-based workflows and AI agents to drive automation, personalization, and intelligent decision-making.
• Develop strategies to optimize budget allocation and campaign performance using AI-driven approaches in scenarios with high cardinality and uncertainty.
• Conduct exploratory data analysis to uncover trends and insights from large, complex data sets.
• Identify, evaluate, and deploy use case-specific LLMs (e. g., OpenAI, Gemini, Claude) for summarization, retrieval, semantic search, tool use, and classification.
• Design and implement retrieval-augmented generation (RAG) pipelines and memory-augmented AI agents.
• Implement Groq or similar platforms for high-performance, low-latency inference and scalable AI deployment.
• Communicate complex analytical and AI-driven findings in a clear, actionable manner to non-technical stakeholders.
• Stay abreast of the latest advancements in AI, LLMs, and agentic systems.
• Build AI-powered proof of concepts (PoCs) leveraging foundation models, vector databases, and orchestration frameworks.
• Use SQL for data exploration, feature engineering, and prompt conditioning.
  
  

Required Skills

• Qualification in a quantitative field such as Computer Science, Artificial Intelligence, Statistics, Physics, or Mathematics.
• Excellent problem-solving skills and strategic thinking with a strong AI product mindset.
• Strong coding skills, particularly in Python.
• 4-6 years of relevant work experience in Data Science, with significant hands-on experience in LLM-based application development.
• Solid foundation in statistical analysis, experimentation, and hypothesis testing.
• Proficiency in Python and SQL.
• Preferred experience on the GCP platform.
• Proven experience with LLMs, including prompt engineering, fine-tuning, RAG, and evaluation.
• Experience identifying and scaling LLM-based use cases across business functions.
• Familiar with building AI agents using LangChain, LangGraph, and agentic orchestration frameworks.
• Experience with Groq or similar platforms for high-speed inference of LLMs.
• Experience with LangSmith (LLMOps) for debugging and monitoring LLM workflows.
• Hands-on experience with fine-tuning LLMs for domain-specific applications.
• Practical experience in classical machine learning techniques and working with large-scale datasets.
• Plus points for experience in AdTech or Meta Ads.
• Effective communication skills with the ability to convey technical concepts to non-technical audiences.
  
  

This job was posted by Shajy Theyyamveettil from Affle.