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Innovation AI Lead

Innovation AI Lead

CompanyEcolab
LocationSt Paul, MN, USA
Salary$149700 – $224500
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior, 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.