In this role, you will leverage your expertise in data science to develop impactful solutions that solve complex business challenges. You will collaborate with clients and internal teams to craft strategies that maximize the value of data insights. This position requires strong leadership skills, a creative approach to problem-solving, and the ability to translate business needs into actionable data solutions. Additionally, you will guide teams and drive the adoption of cutting-edge technologies to deliver excellence.

Responsibilities

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

Requirements

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

Nice to have

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

We offer

Dynamic, entrepreneurial corporate environment
Diverse multicultural, multi-functional, and multilingual work environment
Opportunities for personal and career growth in a progressive industry
Global scope, international projects
Widespread training and development opportunities
Unlimited access to LinkedIn learning solutions
Competitive salary and various benefits
Advanced wellbeing and CSR programs, recreation area

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