Proven track record of successfully leading data science, data engineering and/or AI teams.
Excellent leadership, communication, and interpersonal skills.
An ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
Qualifications
Bachelor's degree in Statistics, Computer Science, Information Technology, Data Science, Engineering or any other related quantitative field. Master's degree is a plus.
7+ years of experience in data engineering, data science, and/or AI, with at least 5 years in a leadership role.
Familiarity with AI research and development tools and platforms.
Extensive experience with machine learning frameworks, generative AI technologies, and big data platforms.
Strong understanding of data architecture, data governance, and data security best practices.
Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud).
Knowledge of programming languages such as Python, R, Java, and SQL.
Experience in big data technologies (Redshift, S3, Databricks, Data lakes, Spark).
Working experience in one of these tools Looker/Tableau/PowerBI.
GK
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