KEY RESPONSIBILITIES

Effective & Reliable Independent Contributor

- Independently design and implement complex data science projects, from initial concept through final deployment.

- Solve critical business problems with minimal 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 innovative 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 monitoring processes to ensure data quality and integrity.

Thought Leadership

- Stay abreast of the latest trends and advancements in the field of data science.

- Actively contribute to the organization's thought leadership through publications, presentations, and participation in industry events.

QUALIFICATIONS

- Bachelor’s, Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- 8+ years of experience in data science or a related field, with a proven track record of leading and delivering high-impact projects.

- Deep expertise in advanced machine learning techniques, statistical modeling, and AI.

- Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Advanced skills in SQL and experience with big data technologies.

- Proven experience with MLOps practices and tools for model deployment, monitoring, and optimization.

- Exceptional problem-solving skills and a strategic mindset, with the ability to tackle complex data challenges.

- Strong leadership and mentorship abilities, with experience guiding and developing junior team members.

- Outstanding communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to diverse audiences.

📌 Sr Data Scientist (Bengaluru)
🏢 Ecolab
📍 Bengaluru