Lead and manage a team of data scientists and data engineers, encouraging a collaborative and innovative environment. Develop and implement data strategies that support the company's global facilities operations. Create, build, and maintain data pipelines to process and analyze large volumes of facilities data. Design and deploy machine learning models and data analytics tools to optimize facilities management and operations. Collaborate with cross-functional teams to integrate data solutions into existing systems. Design, develop, deploy, and maintain AI solutions that provide operational benefits. Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field. Minimum of 5 years of experience in data science and data engineering roles. Proven track record of leading and managing high-performing teams. Excellent communication and interpersonal skills. Strong problem-solving and analytical abilities. Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake. Proficiency in programming languages such as Python, Java, and SQL. Knowledge of sophisticated analytics and predictive modeling. Familiarity with cloud computing platforms such as AWS, Azure, and Google Cloud. Understanding of big data technologies and frameworks like Hadoop and Spark.
