About the job

Summary_{By Outscal}

This Data Scientist role requires 3-5 years of experience in data science, mathematics, statistics, or computer science. You'll apply data science principles, methods, and theories to solve problems and develop innovative solutions. Project management skills are valued.

About the job

Job Characteristics:Demonstrates use and application of data science principles, methods, theories, and concepts to assignments where precedents may exist. Demonstrates basic project management skills. Provides solutions to a variety of problems which require collecting and analyzing data from diverse sources to solve problems. Demonstrates ability and initiative to identify and explore novel approaches to data science solutions. Contributes to the exploration, refinement and deployment of data science solutions.

Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 3 to 5 years related experience or MS and less than 2 years related experience.

Independence level/Reports to:Works under limited supervision on assigned tasks or portions of projects to determine and develop approach to meet desired objectives. May lead projects/research with limited scope and complexity. Normally reports to Data Science Manager or more senior technical leader.

Our Commitment to Diversity and Inclusion

Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. Our goal is to fully utilize minority, female, and disabled individuals at all levels of the workforce. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance. In all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement, Ecolab 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, or disability.