> Markdown version of [/jobs/ext/265041-lead-data-scientist-genai](https://www.wearedevelopers.com/jobs/ext/265041-lead-data-scientist-genai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Data Scientist - GenAI - **Company:** Tiger Analytics - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Microsoft Azure, Decision Support Systems, Python (Programming Language), Machine Learning, Standard Sql, Unstructured Data, Supervised Learning, Transfer Learning, Large Language Models, Prompt Engineering, Virtual Environment, Deep Learning, Generative AI, Git, HuggingFace, Machine Learning Operations, Functional Programming, Software Coding, Software Version Control, Recurrent Neural Networks, Unsupervised Learning - **Published:** May 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=57b5982ce21305b8 ## About the Role Do you have experience in Version control?, Do you have a Bachelor's degree?, We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions., * 6+ years of experience working as a GenAI Data Science. * Proficiency in Python and SQL * Experience with MLflow and model lifecycle management * Experience with Python from a functional programming paradigm, able to manage dependencies and virtual environments, along with version control in git * Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications * Experience with sequential algorithms (e.g., LSTM, RNN, transformer, etc.) * Experience with Bedrock, JumpStart, HuggingFace * Experience evaluating ethical implications of AI and controlling for them (e.g., red-teaming) * Expertise in supervised learning and unsupervised learning along with experience in deep learning and transfer learning * Experience in generative algorithms (e.g., GAN, VAE, etc.) as well as pre-trained models (e.g., LLaMa, SAM, etc.) * Experience developing models from inception to deployment 5-10 years of professional work experience with at least 5 years in Data Science. * Experience building end-to-end ML pipelines in production * Familiarity with CI/CD pipelines, monitoring, and model governance * Ability to design scalable and reliable AI systems * Bachelor's in Business Analytics or equivalent work experience. ## Description * Work on the latest applications of data science to solve business problems * Work directly with client stakeholders to translate business problems into high level analytics solution designs * Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value * Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably * Design and develop machine learning and Generative AI solutions using RAG * Build LLM-powered applications leveraging Azure OpenAI and orchestrate workflows using LangGraph * Develop agentic AI workflows for automation, insights generation, and decision support * Implement Document Intelligence solutions for extracting insights from unstructured data * Participate in discussions with team members to select and apply relevant analytic techniques and create actionable business insights * Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytic solution ## Related Videos - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Analytics in the Age of Agentic AI: A tour of ClickHouse and Langfuse](https://www.wearedevelopers.com/videos/100240-analytics-in-the-age-of-agentic-ai-a-tour-of-clickhouse-and-langfuse) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)