Data Scientist

Job Title: Data Scientist (3–6 Years) Location: Bangalore / Gurgaon CTC: ₹40–45 LPA Experience: 3–6 Years Education: Tier 1 Institutes Only (IITs, IISc, ISI, BITS Pilani, IIITs, etc.) About the Role We are looking for a highly skilled Data Scientist to drive data-driven decision-making and build scalable ML models. This role requires strong problem-solving ability, deep analytical thinking, and hands-on experience in deploying machine learning solutions in production environments. Key Responsibilities: • Drive data-driven decision-making by analyzing complex data sets and identifying trends and patterns. • Build scalable ML models using Python, R or other relevant tools. • Collaborate with cross-functional teams to integrate ML models into business processes. • Develop and maintain dashboards and reports to track key performance indicators (KPIs). • Stay up-to-date with the latest advancements in machine learning and apply this knowledge to improve existing models and develop new ones. • Work closely with data engineers to design and implement scalable data pipelines. • Participate in hackathons, ideathons, or other innovation initiatives to drive business growth through data-driven insights. • Develop and maintain technical documentation for ML models and their applications. • Collaborate with stakeholders to identify business requirements and develop solutions that meet those needs. • Stay up-to-date with the latest advancements in machine learning and apply this knowledge to improve existing models and develop new ones. • Work closely with data engineers to design and implement scalable data pipelines. • Participate in hackathons, ideathons, or other innovation initiatives to drive business growth through data-driven insights. • Develop and maintain technical documentation for ML models and their applications. • Collaborate with stakeholders to identify business requirements and develop solutions that meet those needs. • Stay up-to-date with the latest advancements in machine learning and apply this knowledge to improve existing models and develop new ones. • Work closely with data engineers to design and implement scalable data pipelines. • Participate in hackathons, ideathons, or other innovation initiatives to drive business growth through data-driven insights. • Develop and maintain technical documentation for ML models and their applications. • Collaborate with stakeholders to identify business requirements and develop solutions that meet those needs.