Senior Manager overseeing data science teams and projects at CHEP. Leading AI-focused capability development and collaboration across data science initiatives.
Responsibilities
Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth
Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards
Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects
Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives
Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies
Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes
Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals
Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms
Requirements
Bachelor's degree in Business Administration, Economics, Data Analytics, Computer Science, Information Systems, or related field
Proven experience of 5+ years in Data Science, Software Development, Data Analytics, or related fields, including 3+ years in a managerial capacity
Strong understanding of Machine Learning concepts, Data Science, GenAI, and Software Development techniques for data products
Extensive knowledge of corporate data sources
Demonstrated expertise in Data Science with business focus
Experience in project management, including planning, resource allocation, risk management, and stakeholder communication
Working on remote teams
Excellent leadership and people management skills, with a track record of building and motivating high-performing teams
Strong analytical and problem-solving abilities, with the ability to translate complex business requirements into technical solutions
Effective communication and interpersonal skills, with the ability to collaborate, simplify ideas and influence stakeholders at various levels within the organization
Ability to work under pressure and in a highly autonomous way
Knowledge of programming languages (e.g., SQL, Python), database systems (e.g., SQL Server) and cloud infrastructures (e.g., AWS).
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