Job details

Other Locations
Market related
Job Type
17 days ago

Job Profile Summary

The Principal Data Scientist is the most senior individual contributor in the Data Science / AI discipline and heads the data science / AI sub-discipline globally. The Principal Data Scientist drives deep strategic thinking by combining their technical expertise with strong business acumen and data domain knowledge. You will have the opportunity to continue to be hands-on, for example building data science models, reviewing code and providing actionable, pragmatic insights in technical design reviews.

Job Advert

The most senior individual contributor in the Data Science / AI discipline heads the sub-discipline globally, driving deep critical thinking by combining technical expertise with a strong eye for business and data domain knowledge.

About The Job

  • Define, set and propagate strategy in collaboration with the VP Data & Analytics
  • Deeply understand customer and business needs and be pragmatic about the use of Data Science / AI
  • Identify, lead and build company-wide programs
  • Be hands-on and actively contribute to relevant projects
  • Drive and promote a data-driven culture and attitude
  • Elevate external profile, a chance to be a real ambassador
  • Develop an identity and community within the field
  • Establish and own professional the standards and best practices
  • Pioneer new use cases in the Data Science / AI space
  • Recommends the canonical set of Data Science / AI tools
  • Provide insight, be at the cutting edge of emergent trends and technologies and advises the executive team and senior business leaders on the introduction of new technologies
  • Mentor others and in conjunction with People and Culture build learning paths to upskill and reskill talent

About you:

  • Deep and hands-on experience designing, planning, implementing, maintaining and documenting reliable and scalable data science / AI systems in complex environments
  • Development experience in one or more object-oriented programming languages (e.g. Python, Go, Java, C++) and deeply familiar with software engineering best practices
  • Deep knowledge and application in a wide range of data science areas, including machine learning, deep learning, operations research, and product experimentation
  • Strong stakeholder management and ability to lead large organizations through influence
  • Experience co-developing strategy with the business
  • Continuous learning and improvement mentality
  • Degree or equivalent in machine learning, statistics, computer science or related field