Senior Data Scientist

We are seeking a Senior Data Scientist who is passionate about solving complex business problems using both classical machine learning and cutting-edge Generative AI techniques. The ideal candidate will have strong hands-on experience in Python, SQL, and advanced ML algorithms, along with expertise in LLMs, transformers, and generative pipelines. You will collaborate with cross-functional teams including product, engineering, and business stakeholders to drive innovation and data-driven strategies across forecasting, optimization, and AI-powered solutions.

Key Responsibilities:

- Predictive Modeling: Design, build, and deploy models for demand forecasting, agile pricing, inventory optimization, and other business-critical use cases.
- Generative AI Solutions: Develop and fine-tune LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks such as summarization, content generation, semantic search, and question answering.
- End-to-End Pipelines: Build scalable workflows including prompt engineering, model training/fine-tuning, evaluation, and deployment.
- Data Engineering Collaboration: Partner with data engineers to ensure seamless integration of models into production systems.
- RAG Development: Use frameworks like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Weaviate) to build retrieval-augmented generation pipelines.
- Insights & Storytelling: Translate business problems into analytical frameworks, present findings to leadership using compelling visualizations, and provide actionable recommendations.
- Research & Innovation:



Stay current with the latest techniques in ML, statistics, operations research, and GenAI.
- Mentorship: Lead and mentor junior data scientists and analysts when required.

Required Skills and Experience:

- Experience: 5+ years in Data Science/AI roles, with strong business impact; 2+ years in Generative AI/LLMs.
- Programming: Strong Python (pandas, scikit-learn, statsmodels, Hugging Face, PyTorch/TensorFlow) and SQL skills.
- ML Expertise: Deep understanding of regression, classification, clustering, time series forecasting, and generative techniques.
- GenAI Skills: Experience with prompt engineering, fine-tuning, few-shot learning, and orchestration frameworks (LangChain, LlamaIndex).
- Data Handling: Experience with large datasets and distributed computing tools (Spark, Hadoop).
- Visualization: Familiarity with Tableau, Power BI, matplotlib, seaborn.
- Deployment: Experience deploying models in cloud/hybrid environments (Azure, AWS, GCP) and knowledge of MLOps best practices.

Preferred Qualifications:

- Education: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or related fields.
- Domain Expertise: Experience in retail, e-commerce, manufacturing, or logistics.
- Optimization: Exposure to PuLP, OR-Tools, Gurobi.
- GenAI Platforms: Experience with OpenAI, Anthropic, Meta AI, or Google Cloud GenAI APIs.
- Applications: Background in chatbot development, co-pilot solutions, or enterprise GenAI applications.
- Contributions: Publications or open-source contributions in ML/GenAI.

📌 Senior Data Scientist (Bengaluru)
🏢 Tredence
📍 Bengaluru