Lead Machine Learning Engineer

Job Description

Ecolab's Advanced Analytics Anchor organization is seeking an engineering-focused Lead Data Scientist to drive architecture and engineering workstreams that will unlock the value in data assets for Ecolab businesses.

In this role, you will work with cross-functional product development teams as part of Ecolab's Center for Advanced Analytics, to help enable bringing analytics-enabled digital products to life. In addition, you will take on a currently deployed analytics product, owning the expansion, execution and enhancements required for scaled solution success.

Open for 100% remote work opportunity

What's in it For You:

• 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 growth
• Support of an organization that believes it is vital to include and engage diverse... people, perspectives, and ideas to achieve our best

What you will do:

• Actively engage with internal technical and business teams to architect analytics-enabled digital products to deliver insights, predictions, and optimization outcomes, at scale
• Lead ongoing evolution of existing analytics-enabled products
• Leverage your expertise as a Python developer and knowledge of distributed, and scientific computing to design and create scalable, reusable components to accelerate the migration of machine-learning enabled products to production
• Work alongside global counterparts to incrementally create and deploy machine learning enabled solutions
• Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions.
• Network and collaborate with a broad range of internal business stakeholders to define and deliver joint solutions.

What you will bring to the table:

• A problem-solving, hands-on mindset. You enjoy moving between deep dives into code to solve complex challenges and zooming out to think strategically about the solutions being created.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice, meanwhile embracing the full product lifecycle for digital data science.
• A team mentality, empowered by the ability to work with a diverse set of individuals, understand, and deliver cross-functional requirements to enable holistic customer solutions.
• An independent technical leader who can define new approaches to problems and lead a project development team.
• A focus on scalable development, adhering to best practices for efficient coding and architectural design.

Minimum Qualifications:

• BS Degree in Data Science, Math, Statistics, Computer Science or related field and 8+ years professional experience in a data scientist, data engineer, and/or machine learning engineering role, or:
• MS Degree in Data Science, Math, Statistics, Computer Science or related field and 5+ years professional experience in a data scientist, data engineer, and/or machine learning engineering role
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as Python and SQL
• Experience with digital product development

Preferred Qualifications:

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering

A trusted partner at nearly three million commercial 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.

When you come to work at Ecolab, you get to take on some of the world's most meaningful challenges and have the opportunity to learn and grow, shape your career, make an impact and quickly see the importance of your work.

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Our Commitment to Diversity and Inclusion

At Ecolab, we believe the best teams are diverse and inclusive, and we are on a journey to create a workplace where every associate can grow and achieve their best. We are committed to fair and equal treatment of associates and applicants. We recruit, hire, promote, transfer and provide opportunities for advancement on the basis of individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, we will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin, citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, disability, or status as a covered veteran.

In addition, we are committed to furthering the principles of Equal Employment Opportunity (EEO) through Affirmative Action (AA). Our goal is to fully utilize minority, female, disabled and covered veteran individuals at all levels of the workforce. Ecolab is a place where you can grow your career, own your future and impact what matters.

We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance