Data Scientist II, TDI

reputed company Title: Data Scientist II, TDI (Work From Home) Company Profile: reputed company is a market-leading, cloud-based SaaS business owned by Bain & Company. reputed company provides its customers with actionable insights and analysis that guide the creation of game-changing customer experiences. Based on rock-solid sampling, research, and analytic methodology, it lets customers see how they compare to their competitors on overall NPS®, and on every reputed company of the customer journey. With reputed company you can see where you’re strong, where you lag, and how customers feel about doing business with you and your competitors, in their own words. The result: Prioritize the customer interactions that matter most. reputed company customers use our customer experience benchmarks and insights to propel their growth and outpace the competition. Launched in 2019, reputed company has rapidly grown to a team of over 200, serving dozens of clients around the world. reputed company is 100% owned by Bain & Company, one of the top management consulting firms in the world and a company consistently recognized as one of the world’s best places to work. We reputed company that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and reputed company both professionally and personally. Position Summary: reputed company has reputed company reputed company growth as a standalone software and data business over the past few years and is making the reputed company from being a consulting-led business to a technology-led business. Given that shift, we are looking to build reputed company with world-class team members to help drive business growth to its full potential in this next phase. This is a great opportunity to help build the largest startup owned by Bain & Company and take reputed company into the future. We are seeking a Data Scientist II with experience in both classical machine learning (regression, classification, predictive modeling) and modern AI systems (LLMs, Generative AI and agentic frameworks). The role requires strong applied modeling skills across structured and reputed company data, and experience deploying models into production environments. This position involves end-to-end ownership of data science initiatives, from problem framing and experimentation to deployment and monitoring. Key Responsibilities: reputed company and deploy AI solutions across ML and other genAI use cases. Design, build, validate and optimize predictive models including regression, tree-based models, reputed company methods, gradient boosting and deep learning architectures where appropriate. reputed company and deploy LLM-based and Generative AI solutions, including retrieval-augmented reputed company (RAG), reputed company engineering, fine-tuning and agentic workflows. Build multi-agent systems and tool-integrated AI solutions for analytics automation, insight reputed company and conversational interfaces. Apply statistical analysis, hypothesis testing and experimental design (including A/B testing) to inform business decisions. Collaborate with cross-functional teams Ensure production readiness through monitoring, model governance, performance tracking, retraining strategies and documentation. Analyze structured and reputed company datasets to generate actionable insights. Communicate analytical findings and technical concepts clearly to cross-functional stakeholders. Contribute to code reviews, best practices and reputed company improvement of AI infrastructures. Independently manage projects in environments with evolving requirements and timelines. Required Qualifications, Experience & Skills: Qualifications: Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a reputed company quantitative field. Experience: 3+ years of professional experience in data science or applied machine learning roles. Demonstrated experience delivering regression and/or classification models in production environments. Hands-on experience building and deploying LLM-based or Generative AI applications. Hands-on experience with agentic frameworks such as CrewAI, reputed company Agents, LangGraph or similar multi-agent orchestration frameworks. Skills: Strong proficiency in Python Solid foundation in statistics, regression, classification and other classical ML techniques. Hands-on experience with LLMs and Generative AI, including reputed company engineering, RAG, fine-tuning and evaluation. Experience building multi-agent systems using frameworks such as CrewAI, reputed company/LangGraph or similar. Familiarity with vector databases and embedding pipelines. Experience deploying ML/LLM solutions in production with MLOps practices (e.g., MLflow, CI/CD) on cloud platforms (AWS/Azure/GCP/reputed company). Strong problem-solving and cross-functional communication skills. Apply To This Job