Oversee the creation and deployment of data science solutions to address key business needs

Work closely with stakeholders to identify data opportunities that support strategic goals

Develop and fine-tune machine learning models to enhance processes and outcomes

Create and maintain advanced analytics frameworks to support data-driven decision-making

Ensure the reliability and scalability of data science systems in diverse environments

Provide leadership and mentorship to data science teams, helping them grow their skills and expertise

Perform exploratory data analysis to identify trends, patterns, and actionable insights

Communicate findings and recommendations effectively to both technical and non-technical audiences

Stay informed on advancements in AI, machine learning, and data science to maintain cutting-edge expertise

Promote innovation by integrating emerging technologies and methodologies into workflows

More than 10 years of experience in IT, with a strong emphasis on data science and analytics

At least 5 years in leadership positions, such as Lead, Manager, or Architect, within Agile or hybrid work environments

Demonstrated ability to manage teams of 40 or more, ensuring alignment with project goals and timelines

Experience completing at least 8 full project lifecycles or launching 2 or more key products or capabilities to the market

Expertise in data analytics engineering, including data preparation, modeling, and visualization to inform business decisions

Strong knowledge of machine learning techniques, including supervised and unsupervised learning, and their practical applications

Proven ability to design AI and ML strategies to address complex organizational challenges

Advanced proficiency in Python for data processing, analysis, and building machine learning workflows

Practical experience with PyTorch for developing and deploying deep learning models

Familiarity with TensorFlow for creating scalable machine learning systems

Solid understanding of cloud platforms such as AWS, Azure, or GCP for deploying and managing data science solutions

Advanced English communication skills, both written and verbal, with the ability to articulate technical concepts clearly

Certifications in data science, machine learning, or cloud computing to validate expertise

Hands-on experience integrating data science solutions with enterprise applications to improve workflows

Familiarity with advanced visualization tools or techniques to present insights effectively