Job Title: Senior Data Scientist· Location: Mumbai· Required experience range: 5-6 YearsPurpose of hiring:The Senior Data Scientist will be responsible for designing, developing, and deployingadvanced data science and GenAI solutions across key business functions such as Operations,Pricing, and Sales.This role requires close collaboration with business stakeholders to deeply understandchallenges, translate them into scalable AI/ML and GenAI solutions, and drive end-to-endexecution—from problem framing and model development to deployment and continuousmonitoring in production environments.The individual will also play a key role in mentoring junior data scientists, ensuring bestpractices in model development, and fostering a culture of innovation and technical excellence.Additionally, the role involves measuring business impact, communicating insights effectively,and demonstrating tangible value delivered through AI-driven initiatives.Roles & Responsibilities:Cross-Functional Collaboration: Partner with business, operations, pricing, and salesteams to identify and prioritize high-impact opportunities for ML, AI, and GenAI-driven solutions.End-to-End Project Ownership: Lead data science initiatives from problem definition andideation through development, deployment, and business adoption, ensuring timely and high-quality delivery.Solution Architecture: Design scalable, robust, and production-ready ML and GenAIsolutions aligned with business objectives, with a strong focus on measurable impact and ROI.Hands-On Model Development: Build, validate, and optimize machine learning and AImodels using state-of-the-art techniques, ensuring adherence to best practices in modeldevelopment and experimentation.Stakeholder Communication: Translate complex analytical outputs into clear, actionableinsights and present recommendations effectively to senior stakeholders and leadership teams.Deployment & Integration: Collaborate with data engineering and platform teams tooperationalize models and integrate AI solutions seamlessly into business workflows andsystems.Performance Monitoring & Optimization: Establish monitoring frameworks to track modelperformance, ensure reliability, and drive continuous improvement through retraining andrefinement.Mentorship & Team Leadership: Mentor and guide junior data scientists and analysts,fostering technical excellence, structured problem-solving, and a culture of continuous learning.DESIRED CANDIDATE PROFILE:Educational Background: Bachelor’s or Master’s degree in Computer Science,Engineering, Mathematics, or a related field (BE/BTech/MSc/MTech/PhD), with 5–6 years ofrelevant experience in Data Science, Machine Learning, and AI/GenAI solution development.Technical Proficiency: Strong programming skills in Python and SQL, with hands-onexperience in building end-to-end data science solutions. Familiarity with modern MLframeworks and libraries is expected.AI/ML & GenAI Expertise: Proven experience across Machine Learning, Deep Learning,and Generative AI, with a strong track record of translating business problems into scalable,real-world AI solutions.Cloud &Data Engineering Skills: Practical experience with cloud platforms (preferablyAWS), along with exposure to big data technologies such as Spark. Working knowledge ofscalable data pipelines and MLOps practices is a plus.Data Management & Databases: Strong understanding of structured and unstructureddata, with hands-on experience in SQL and NoSQL databases, and efficient data processingand retrieval techniques.Analytical & Problem-Solving Skills: Strong analytical thinking with the ability to breakdown complex problems, apply structured approaches, and deliver innovative, data-drivensolutions.Communication& ; Stakeholder Management: Excellent communication and storytellingskills, with the ability to translate complex technical concepts into clear business insights forboth technical and non-technical stakeholders.
Job Title
Senior Data Scientist