Artificial Intelligence & Analytics Lead – Commercial Digital Products
| Company | Ecolab |
|---|---|
| Location | Naperville, IL, USA, St Paul, MN, USA |
| Salary | $149700 – $224500 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelors Degree in Data Science, Economics, Math, Statistics or related field with an emphasis on analytics and 8 years of experience in progressive data science roles or Master’s degree with 5 years of experience in progressive data science roles
- Experience and proficiency in Python and SQL
- Excellent communication & presentation skills, effectively partnering and delivering results to a broad spectrum of stakeholders
- Ability to thrive in an ambiguous environment, embracing change and challenging the status quo
- Experience leading project teams with cross-functional influence
- Experience with full lifecycle of data science product development
- Proven reasoning in balancing practical business needs and analytics rigor
- No immigration sponsorship is available for this role at this time.
Responsibilities
- Identify and define opportunities aligned to Institutional & Specialty business challenges, navigating a wide range of problems and solution approaches.
- Drive experimentation and delivery of digital data science product innovations aligned to the overall digital product vision.
- Work within an agile global resource model, planning for and delivering against strategically aligned initiatives as a team.
- Network and collaborate with a broad range of internal business stakeholders to link and translate business strategy / VOC to technical opportunities, innovation build and lifecycle management.
- Provide clear, consistent communication and presentation to various product stakeholders.
- Manage and/or mentor junior data scientists in the organization, fostering their development with hands-on engagement and a team mentality.
- Utilize an extensive foundation of data science principles, methods, theories, and concepts to bring creativity, quality and technical ownership to the development of new, innovative AI solutions.
Preferred Qualifications
- Demonstrated interconnected disciplinary knowledge of digital solution development
- Proficiency in the Microsoft Azure Suite, including Databricks and PowerBI
- Working knowledge of DevOps, git, Snowflake, and distributed compute platforms
- Proficiency with time series and sensor data
- Experience in consulting and/or product management
- Well-developed and proven leadership, strategic thinking, & business acumen