Forward Deployed Senior Data Scientist

What you ll build In this role, you will design, develop, and apply advanced data science, statistical, and machine learning methods to solve complex business problems. Embedded within customer engagements and fast-paced delivery teams, you will translate business challenges into scalable analytical and AI solutions that deliver measurable outcomes. Working closely with customers, engineers, and product teams, you will build production-ready machine learning and Generative AI solutions while continuously improving model quality, performance, and business impact. In this role, you will: Transform business challenges into data-driven solutions by identifying analytical opportunities, exploring data, engineering features, and developing predictive models. Design, develop, train, evaluate, and optimize machine learning models and statistical solutions for enterprise business scenarios. Apply techniques across exploratory data analysis, forecasting, classification, clustering, recommendation systems, anomaly detection, experimentation, causal analysis, and predictive analytics. Develop Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), embeddings, vector databases, and Agentic AI frameworks. Integrate analytical and AI solutions into enterprise applications and business processes, ensuring scalability, robustness, and production readiness. Define evaluation metrics, validate model performance, monitor deployed models, and continuously improve solution accuracy and reliability. Work closely with customer teams to understand business processes, data landscapes, and operational challenges to co-create impactful AI solutions. Collaborate with AI Engineers, Data Engineers, Product Managers, and UX teams to deliver end-to-end AI products. Communicate analytical findings, technical trade-offs, and solution recommendations clearly to engineering teams and customer stakeholders. Stay current with the latest advancements in Data Science, Machine Learning, Generative AI, and Agentic AI, applying emerging techniques where appropriate. What you bring Strong hands-on expertise in Data Science, Machine Learning, and Applied AI with excellent proficiency in Python and SQL. Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or similar technologies. Strong understanding of statistics, probability, hypothesis testing, experimental design, model evaluation, and feature engineering.