AI & GenAI Data Scientist – Manager

Responsibilities

• 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.
• Using 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.

• Python
• Java
• Machine learning
• Deep learning
• Neural networks
• Data analysis
• Data integration
  
  Data pipelines
• Predictive analytics
• Data modeling

• Leadership
• Mentoring
• Collaboration
• Coaching
• Innovation
• Adaptability
• Communication
• Problem-solving
• Team development
• Stakeholder engagement

• Data engineering certification
• Machine learning certification
• Cloud platform certification