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Data Scientist

Company: Ecolab
Location: Saint Paul
Posted on: October 15, 2020

Job Description:

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 $13 billion and more than 45,000 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.

Ecolabs Institutional division, serving the restaurant and hospitality market, is seeking a business focused Data Scientist to unlock the value in data assets while creating new and unique offerings for customers. As a data scientist in the Advanced Analytics organization, you will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the work will be in machine learning (ML) modelling, management and problem analysis, data exploration and preparation, data collection and integration, as well as operationalization. You will be a key interface between the advanced analytics team and the business unit and various other departments (such as IT). Candidates need to be very much self-driven, curious and creative.

In this role, we are looking for:


  • A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
  • 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.
  • A team mentality empowered by the ability to work with a diverse set of individuals.

    Whats in it For You:

    • Opportunity to take on some of the worlds 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:

      • Problem Analysis and Project Management.
      • Inspire the organization about the business potential and strategy of artificial intelligence.
      • Collaborate across the business to understand IT and business constraints.
      • Manage data science projects and the corresponding key performance indicators (KPIs) for success.
      • Data Collection and Integration.
      • Understand new data sources and process pipelines and catalog/document them.
      • Acquire access to various databases and other sources systems such as SQL or graph databases.
      • Create data pipelines for more efficient and repeatable data science projects.
      • Data Exploration and Preparation.
      • Apply statistical analysis and visualization techniques to various data.
      • Generate hypotheses about the underlying mechanics of the business process.
      • Test hypotheses using various quantitative methods.
      • Display drive and curiosity to understand the business process to its core.
      • Network with domain experts to better understand the business mechanics that generated the data.
      • Machine Learning.
      • Apply various ML and advanced analytics techniques to perform classification or prediction tasks.
      • Acquire domain knowledge and integrate it into ML solutions, for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing.
      • Testing of ML models, such as cross-validation, A/B testing, bias and fairness.
      • Operationalization.
      • Collaborate with ML operations, data engineers, and IT to deploy ML solutions.
      • Follow established best practices around ML production infrastructure.
      • Network with internal and external partners.
      • Upskill yourself (through conferences, publications, courses, local academia and meetups).
      • Collaboration with other technical teams within the organization.
      • Encourage and leverage the reuse of artifacts.
      • Be encouraged and expected to innovate and be creative in your data analysis, problem solving and presentation of solutions.

        Minimum Qualifications:

        • Bachelors Degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics with 3+ years related experience, or
        • Masters Degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics with 1+ years of related experience
        • Experience working with statistics/analytics/visualization tools, preferably in the Microsoft Azure Suite.

          Preferred Qualifications:

          • Ph.D. degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
          • Experience working in Python/SQL/Jupyter.
          • Self-driven, curious and creative with a collaborative mindset.
          • Demonstrated ability to work in diverse, cross-functional teams in a dynamic business environment.
          • Strong communication and presentation skills.

            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.

Keywords: Ecolab, St. Paul , Data Scientist, Other , Saint Paul, Minnesota

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