Designing and implementing AI systems to transform raw data into actionable insights
Leading teams in the development of scalable machine learning models and solutions
Managing complex data analysis and integration to support AI-driven initiatives
Utilizing programming languages such as Python and Java to enhance AI model deployment
Overseeing the creation and maintenance of data pipelines and infrastructure
Applying deep learning techniques and neural networks to improve predictive analytics
Collaborating with stakeholders to address data challenges and optimize AI applications
Mentoring team members to develop skills in AI implementation and data engineering
Validating data quality and compliance within AI frameworks
Encouraging innovation and embracing change to drive business growth through AI solutions

At least a Bachelor's degree
At least 6 years of experience
Preference for fields of study including Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
Certifications aligned to data engineering, machine learning, and cloud platforms such as AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
Proficiency in AI implementation and machine learning libraries
Utilizing complex data analysis and data modeling techniques
Excelling in coaching and mentoring team members
Embracing change and innovation in technology consulting
Developing skills in neural networks and natural language processing

AI & GenAI Data Scientist – Manager

Key skills