Lead the development and implementation of data science solutions tailored to business needs

Work collaboratively with stakeholders to identify opportunities for data-driven strategies

Build and refine machine learning models to improve workflows and business outcomes

Design and maintain analytics frameworks that support informed decision-making

Ensure data science systems are scalable, reliable, and adaptable to various environments

Provide mentorship and technical guidance to data science teams to foster growth and expertise

Analyze data to uncover trends, patterns, and critical insights for actionable recommendations

Present results and solutions effectively to both technical and non-technical audiences

Stay current with advancements in artificial intelligence, machine learning, and data science technologies

Drive innovation by introducing new techniques and tools to enhance workflows and solutions

At least 10 years of experience in IT, with a focus on data science and analytics

Minimum of 5 years in senior leadership roles, such as Manager, Architect, or Lead, within Agile or hybrid environments

Proven experience managing teams of 40 or more, ensuring productivity and alignment with project objectives

Participated in at least 8 full project lifecycles or successfully launched 2 or more products or significant features to market

Expertise in data engineering, including data preparation, modeling, and visualization for business applications

Strong understanding of machine learning methodologies, including supervised and unsupervised approaches, and their implementation

Demonstrated ability to create AI and ML strategies to address complex business problems

Advanced knowledge of Python for data analysis, manipulation, and machine learning workflows

Practical experience with PyTorch for building and deploying deep learning models

Familiarity with TensorFlow for scalable machine learning development and deployment

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

Exceptional English communication skills, with the ability to articulate technical concepts clearly and effectively

Certifications in data science, machine learning, or cloud technologies to showcase expertise

Experience integrating data science solutions with enterprise systems to enhance operational efficiency

Knowledge of advanced visualization techniques or tools to effectively communicate insights to stakeholders