Efficient & ReliableIndependent Contributor
- Independently design and implement complex data science projects, from initial concept through final deployment.
- Solve critical business problems with mínimal oversight, ensuring the delivery of high-quality, impactful solutions.
- Proactively identify and address potential issues or opportunities for improvement in existing models and processes.
- Design scalable data and knowledge pipelines (chunking, indexing, vector stores) optimized for GenAI and enterprise use cases.
Leadership and Mentorship
- Mentor and provide technical guidance to junior data scientists and team members.
- Foster a culture of continuous learning and improvement within the team.
Advanced Model Development
- Lead the design, development, and deployment of advanced predictive models and machine learning solutions.
- Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps best practices.
- Architect GenAI solutions (RAG, agents, tool‑calling, multimodal systems)
aligned to business workflows and constraints.
- Define robust GenAI evaluation frameworks covering quality, safety, cost, latency, and business impact.
Strategic Collaboration
- Collaborate with business stakeholders to identify and prioritize opportunities for leveraging data to drive strategic business solutions.
- Communicate complex analytical concepts and findings to non-technical stakeholders, influencing decision-making at the highest levels.
Research and Innovation
- Conduct in-depth research and analysis to develop creative data science solutions that address complex business problems.
- Drive the adoption of cutting-edge techniques and best practices in data science, machine learning, and AI across the organization.
Data Pipeline Management
- Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization.
- Implement robust validation and monitori
📌 Sr Data Scientist (Bengaluru)
🏢 Ecolab
📍 Bengaluru
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