Expert in a defined field, recognized by immediate colleagues and a broad community while maintaining strong broad expertise in general data science techniques.
Act as a lead and technical mentor for individual projects developed by other experts / teams.
Can identify and drive reusable analytics components, and create blueprints, libraries, and frameworks.
Collaborate with stakeholders to identify data-driven opportunities and develop actionable insight on how to measure business impact.
Lead the planning, execution, and delivery of data science projects to meet business objectives.
Monitor and evaluate the health of analytics models in production and development, and propose improvements.
Run self-dependently small products / services or sub-parts of large projects.
Update the Global IT and Analytics community with the latest advancements in data science technologies, methodologies, and best practices.
Job Requirements
10+ years of experience in Data Analytics. 5+ years of experience in data science (AI / ML, optimization, math).
Good knowledge of at least one of the functional areas : customer relationships and sales, e-com / freight forwarding / express / logistics operations, and service operations.
Minimum 5 years of experience in data science, with a strong understanding of programming languages such as Python, R, or SQL.
Proficiency in statistical analysis, machine learning algorithms, and data visualization techniques.
Excellent leadership and team management skills, with the ability to motivate and inspire a team of data scientists.
Strong communication and presentation skills, with the ability to convey complex concepts to non-technical stakeholders.
Proven track record of successfully leading and delivering data science projects and initiatives.
Experience working Agile and DevOps; familiar with DataOps.
Must be able to work collaboratively with cross-functional cross-geographical teams to analyze and understand business needs.
Good oral and written English : ready to present to a technical audience.
Advanced degree or equivalent experience in Computer Science, Engineering, Information Systems, Analytics, and Artificial intelligence.