Senior Data Scientist

Role and analytics centre

Role responsibilities

• Scope, design, and implement machine-learning models for business use cases and initiatives.
• Lead end-to-end model delivery, regularly testing and maintaining analytical models as business needs change.
• Collaborate with product owners, business translators, data warehousing, and data engineering teams on big-data applications.
• Use structured and unstructured data, design data architectures, and experiment with machine-learning techniques.
• Help translators communicate model design, functioning, and outputs.
• Mentor junior colleagues and guide their work and professional development.
• Contribute to analytics roadmaps with business units and document reusable code.
• Pursue technical learning goals and conduct knowledge-sharing sessions internally and externally.
• Help plan cultural initiatives for the centre.

Education and experience

• A university degree is required.
• An MS/Ph.D. in Computer Applications, Economics, Statistics, Mathematics, or a related technical discipline is desirable.
• Six to eight years of data science experience is essential.
• Experience defining analytics roadmaps and leading analytics engagements is required.

Technical and professional skills

• Experience in machine learning, statistics, optimization, or related fields is required.
• Programming experience in R or Python is required.
• Experience with large datasets and simulation, optimization, or distributed computing tools such as MapReduce, Hadoop, Hive, or Spark is essential.
• Strong analytical and problem-solving skills are required.
• The role calls for communication, stakeholder management, teamwork, curiosity, and ability to learn quickly.
• Experience working in agile environments with multiple business stakeholders is required.

Employer context