Advanced Data Scientist

Requirements:

• Advanced degree in a STEM field like CS, DS, Engineering, Statistics, Math, etc. is preferred, or equivalent experience. PhD strongly preferred in Computer Science, Machine Learning, Statistics, Operations Research, Applied Mathematics, Industrial Engineering, or a closely related quantitative field (or equivalent depth of research + applied production experience).
• 3+ years of industry experience in applying data science: experimental design, machine learning, deep learning algorithms, operations research, applied mathematical optimisation, etc., at scale.
• Specific experience and skills working in the retail and grocery industry are preferred, including in the areas of supply chain optimisation, merchandising and pricing, digital/ecommerce, fulfilment, and customer and marketing analytics and intelligence capabilities using data science, AI and machine learning tools and techniques.
• You will bring product thinking and deep expertise in systems design to this role.
• You will bring an understanding of how planning and operations connect with customer-related work from a data science perspective.
• You will have prior experience as a consultant and bring a service mindset to the work of business transformation.
• You will be equally comfortable interacting with scientists, engineers, product, and business clients.
• Business acumen and retail understanding are critical.
• Getting stuff done is critical.
• Has to be able to clearly set a vision to partners for the art of the possible.
• Track record of guiding teams through unstructured technical problems to deliver business impact.
• Ability to translate high-level business objectives into action.
• Skilled at running cross-functional relationships and communicating with leadership across multiple organisations.
• 3+ years of experience and proficiency in Python and SQL.
• 3+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, and Hadoop.
• 3+ years of experience with Data Engineering, MLOps, and Model Life Cycle Management.
• Excellent communication skills, with the ability to synthesise, simplify and explain complex problems to different audiences.
• Experience with logistics and supply chain management systems, Snowflake, and Azure Databricks is a plus.
• Proven track record of leading data science projects and teams to architect and deploy data science solutions at scale.

Skills Required:

• Machine learning
• Deep learning
• Applied Optimisation, Operations Research
• Python
• SQL
• AI/machine learning tools (Databricks, Vertex AI, etc. )
• Systems design
• Analytics across functions
• Data Science team leadership (5+ years)
• Strong cross-functional relationship management and executive communication skills.

Skills Preferred:

• Big data platforms (Snowflake, Spark, Hadoop)
• Data Engineering
• MLOps
• Model Life Cycle Management
• Experimental design
• Strategic retail and grocery analytics expertise.