Senior Data Scientist

ecolab; India; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

ecolab in India seeks a seasoned data science leader to design and deploy advanced ML models, including LLMs, with strong MLOps practices. You will mentor juniors and collaborate with stakeholders to drive strategic impact.

You will oversee end-to-end data pipelines, ensure model quality, and champion innovation through research and publications, shaping the organization's AI roadmap.

Qualifications

• Senior data science leader with 8+ years of experience.
• Deep expertise in ML techniques, AI, and statistical modeling.
• Proficient in Python and ML libraries.
• Experience with MLOps and deployment.

Responsibilities

• Design and implement complex data science projects from concept to deployment.
• Solve critical business problems with minimal oversight and high impact.
• Identify and address improvements in models and processes.
• Mentor and provide technical guidance to junior data scientists.
• Foster a culture of continuous learning within the team.
• Lead design, development, and deployment of advanced predictive models, LLMs, and AI solutions.
• Ensure scalability, reliability, and performance; implement MLOps and LLMOps practices.
• Collaborate with business stakeholders to identify opportunities and drive strategic data solutions.
• Communicate complex analytics to non-technical stakeholders to influence decisions at the top level.
• Conduct in-depth research to develop innovative DS solutions and promote best practices.
• Oversee end-to-end data pipelines; ensure data quality and integrity.
• Stay updated on trends and contribute to thought leadership through publications and events.

Skills

Leadership

Mentorship

Strategic thinking

Communication

Problem-solving

Education

Bachelor/Master/PhD in Data Science or related field

Tools

Python

scikit-learn

TensorFlow

PyTorch

SQL

MLOps

LLMs

Big data technologies

Job description

KEY RESPONSIBILITIES

Efficient & 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.

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 and Generative AI

Lead the design, development, and deployment of advanced predictive models , LLMs, and machine learning solutions.

Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps , and LLMOps , best practices.

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.