Lead Data Scientist

Job Summary:

Ecolab’s AI Engineering organization is seeking a highly experienced Lead Data Scientist to lead the development of cutting-edge AI/ML, and data science solutions that power our commercial Digital solutions. In this hands-on role, you will be responsible for designing, building, and deploying AI-powered solutions that drive business value and innovation. The ideal candidate will have a strong background in data science, machine learning, and software development, with a proven track record of delivering high-impact projects.

Key Responsibilities:

Design and Develop AI-Powered Solutions: Lead the design, development, and deployment of AI-powered solutions using Azure Databricks, and other components or our technology stack. Technical Leadership: Provide technical leadership and guidance to junior data scientists and engineers on Databricks, Mosaic AI, and AI agent development. Mentor and coach team members to improve their skills and expertise. Databricks and Mosaic AI Expertise: Develop and maintain expertise in Databricks and Mosaic AI, staying up-to-date with the latest features and best practices. Apply this expertise to drive the adoption of these technologies within the organization. AI Agent Development: Design and develop AI agents using Mosaic AI and other relevant technologies. Collaborate with stakeholders to identify opportunities for AI agents to drive business value. Data Science Innovation: Stay abreast of the latest advancements in data science and AI, identifying opportunities to apply new techniques and technologies to drive business innovation. Collaboration and Communication: Collaborate with stakeholders across the organization to identify business problems and develop data-driven solutions. Communicate complex technical concepts to non-technical stakeholders, driving adoption and understanding of data science solutions.

Requirements:

Education/Experience: Degree or advanced degree in data science, physics, mathematics, statistics, computer science or related quantitative field. BS and 10+ years related experience or MS and 7+ years related experience or PhD and less than 2 years’ experience. 1-3 Years Supervisory experience preferred. Technical Skills:

• Proficiency in Databricks, or a similar platform like AWS SageMaker, Azure Machine Learning, Vertex AI, and others.
• Strong programming skills in languages such as Python, Scala, SQL, etc.
• Familiarity with data engineering, data warehousing, and data governance.

Soft Skills:

• Excellent communication and collaboration skills.
• Strong leadership and mentoring skills.
• Ability to drive innovation and stay up-to-date with the latest advancements in data science and AI.

Nice to Have:

Experience with Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or Google Cloud. Experience with AI agents: Experience developing AI agents using Mosaic AI or similar code-first platforms. Certifications: Databricks or Mosaic AI certifications are a plus. Open-Source Contributions: Contributions to open-source projects related to data science, machine learning, or AI.

What We Offer:

• Opportunity to take on some of the world’s most meaningful challenges, helping customers achieve clean water, safe food, abundant energy, and healthy environments.
• Ability to make an impact and shape your career with a company that is passionate about your growth.
• The opportunity to work with the latest technologies and techniques in the data science and machine learning engineering field, acting as the subject matter expert in a growing organization within the company.
• Support of an organization that believes it is vital to include and engage diverse people, perspectives, and ideas to achieve our best.

If you're passionate about data science, AI, and innovation, we'd love to hear from you! Please submit your resume and a cover letter explaining why you're the ideal candidate for this role.