We are looking for a skilled Lead Data Scientist to lead a team of Data Scientists & Data Engineers & BI/BA Professionals. The ideal candidate will apply data science principles and lead initiatives, even in uncharted areas. Strong proficiency in SQL, Python, and other data science tools and techniques is essential, as these skills will be critical in handling data analysis, modelling, and implementation tasks effectively.

Key Responsibilities

Work under limited supervision on assigned tasks or portions of projects to meet objectives.Provide leadership and some individual contribution to key data science projects/experiments of moderate to large scope and complexity with high impact on the business.Recommend solutions to a wide range of difficult problems through design and execution of data science research.Partner cross-functionally to identify, experiment, and collaborate on novel approaches to data science solutions.

Qualifications

Degree or advanced degree in Data Science, Mathematics, Statistics, Computer Science, or related field, with 8+ years of related experienceStrong understanding and application of data science principles and methods.

Competencies:

SQLPythonData ModellingMachine LearningBig Data Technologies (e.g., Hadoop, Spark)Data Visualization Tools (e.g., Tableau, Power BI)Cloud Computing Platforms (e.g., AWS, Azure Cloud)Data Warehousing (e.g., Snowflake)

Reporting Structure

The Lead Data Scientist will normally report to the Director or a more senior technical leader.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. 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.