Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- 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).
Benefits
- Hybrid Work Model
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.
Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Lead Data Scientist developing AI - powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.