Skip to content

Innovation AI Lead
Company | Ecolab |
---|
Location | St Paul, MN, USA |
---|
Salary | $149700 – $224500 |
---|
Type | Full-Time |
---|
Degrees | Bachelor’s, Master’s |
---|
Experience Level | Senior, Expert or higher |
---|
Requirements
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- 8 years of experience in a data science leadership role or similar role
- Strong proficiency in programming languages such as Python, R, or SQL.
- Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills and the ability to think critically and creatively.
- No immigration sponsorship available for this position.
Responsibilities
- Lead and mentor a team of data scientists and analysts, fostering a collaborative and innovative environment.
- Develop and implement advanced data models, algorithms, and analytics solutions to solve complex business problems.
- Collaborate with cross-functional teams, including engineering, product, and business stakeholders, to identify data-driven opportunities and deliver actionable insights.
- Drive the design and execution of data experiments, ensuring robust data collection, analysis, and interpretation.
- Oversee the deployment and maintenance of machine learning models in production environments.
- Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and apply these insights to improve our data capabilities.
- Communicate complex data findings and insights to non-technical stakeholders in a clear and concise manner.
- Ensure data quality, integrity, and security across all data initiatives.
Preferred Qualifications
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of natural language processing (NLP) and deep learning techniques.
- Familiarity with Agile methodologies and project management tools.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with diverse teams.
- Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.