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.
Skills Required
- 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
- 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
- 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
- Strong leadership and mentorship abilities
- Outstanding communication skills, both written and verbal
Ecolab Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Ecolab and has not been reviewed or approved by Ecolab.
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Retirement Support — Feedback suggests the company provides strong retirement programs, including a 401(k) with employer matching and a pension, alongside options like an employee stock purchase plan. Offerings such as retiree healthcare benefits and diverse investment choices reinforce long-term financial support.
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Healthcare Strength — Feedback suggests medical coverage is broad, with HSA plan options and company contributions, prescription benefits, dental and vision, and virtual care and mental health support. Company-paid wellness programs and income protection (short- and long-term disability, life and accident) further strengthen core coverage.
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Parental & Family Support — Family-focused programs include fertility support, adoption assistance, and paid parental leave, complemented by counseling and resource services. These offerings are positioned as supportive of employee well-being across different life stages.
Ecolab Insights
What We Do
A trusted partner at nearly three million customer locations, Ecolab (ECL) is the global leader in water, hygiene and infection prevention solutions and services. With annual sales of $12 billion and more than 44,000 associates, Ecolab delivers comprehensive solutions, data-driven insights and personalized service to advance food safety, maintain clean and safe environments, optimize water and energy use, and improve operational efficiencies and sustainability for customers in the food, healthcare, hospitality and industrial markets in more than 170 countries around the world. For more Ecolab news and information, visit www.ecolab.com, or follow us on twitter.com/ecolab, facebook.com/ecolab or instagram.com/ecolab_inc.
