Data Scientist II , Ultra

Designation: Data Scientist II

Office Location: Gurgaon

Position Description: 

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.
• 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 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.

Work Environment Details:

About Affle:

Affle is a global technology company with a proprietary consumer intelligence platform that delivers consumer engagement, acquisitions, and transactions through relevant Mobile Advertising. The platform aims to enhance returns on marketing investment through contextual mobile ads and also by reducing digital ad fraud. While Affle's Consumer platform is used by online & offline companies for measurable mobile advertising, its Enterprise platform helps offline companies to go online through platform-based app development, enablement of O2O commerce and through its customer data platform.

Affle India successfully completed its IPO in India on 08. Aug.2019 and now trades on the stock exchanges (BSE: 542752 & NSE:AFFLE). Affl e Holdings is the Singapore based promoter for Affl e India and its investors include Microsoft, Bennett Coleman &Company (BCCL) amongst others.

For more details: www.affle.com

About Ultra: 

Ultra Platform offers a unified access to seamlessly integrate multiple inventory sources, including walled gardens, so that you can extract maximum value from your leads, enhance conversion rates, and accelerate your business goals across mobile and mobile web.

For more details: https://www.ultraplatform.io/