Lead Data Scientist

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Position Title: Principal Data Science Lead Role Purpose The Principal Data Science Lead is responsible for providing strategic input in the data science capability to unlock value through actionable insights to support decision-making across Shoprite Group. Your primary objective will be to implement best practice knowledge, methodologies, fit-for-purpose tools, and ways of work across the group to ensure that our data science efforts are aligned with organisational objectives and industry standards. You will lead initiatives and inspire teams to drive innovation, optimise processes, and unlock actionable insights from data to support decision-making.
As the Principal Data Science Lead, you will be accountable to select the relevant scientific approach for the business opportunities to drive data-driven decision-making, while shaping the future of our data science initiatives.
Your expertise and influence will be instrumental in driving innovation, fostering excellence, and delivering measurable value.
Role Description: Lead the development of advanced analytics models, algorithms, and methodologies to derive value from data insights.
Select and implement the appropriate analytical tools, methodologies, and best practices to address business requirements effectively with the team.
Translate data-driven insights into actionable recommendations and strategies to optimise business processes, improve customer experience, and drive revenue growth.
Establish and enforce best practice standards for data science methodologies, processes, and tools.
Lead initiatives to drive innovation in data science techniques and technologies, continuously optimising processes to enhance efficiency and effectiveness.
Develop and provide guidance on advanced analytical models and algorithms to extract insights from complex data sets, supporting informed decision-making to deliver value for the Shoprite Group.
Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and stakeholders, to understand their analytical needs and challenges.
Act as a domain expert, sharing best practices and knowledge with data scientists, analysts, and cross-functional partners.
Partner with Shoprite Technology (i.e. platforms, architecture, engineering) to create fit-for-purpose data products and/or assets for business value delivery.
Implement efficient ways of work to collaborate, engage, share across the Data and Analytics capability.
Provide mentorship and coaching support to develop data scientists, fostering a culture of excellence, innovation, and professional growth within the team.
Qualifications and experience PhD (preferred) or Master's Degree in Data Science, Computer Science, Mathematics, Statistics, Information Technology, Information Systems or a related field – (essential).
+8 years' experience (if MSc.; 6+ if PhD) in a similar role, leading and solving complex business and technology problems through applying sophisticated data science techniques within a fast-paced environment – (essential).
Extensive experience applying machine learning, deep learning, data mining, modelling and mathematical and/or statistical concepts and methodology to support strategic business objectives – (essential).
Expertise in SQL, Python and data science toolkits – (essential).
Consistently demonstrated experience leading and developing others whilst taking ownership for project outcomes – (essential).
Experience delivering project outcomes using design thinking, lean and agile principles – (essential).
Strong proficiency in MS Office 365 with advanced Excel skills – (essential).
Experience in a retail environment – (highly desired).
Excellent communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
Demonstrated experience in developing and implementing best practice standards for data science methodologies and processes.
Functional strategic expertise, with a deep understanding of how data science can drive value and competitive advantage within a business context.
Key competencies and work ethic Critical thinker with strong quantitative skills – Able to collect, organise and assimilate disparate, multiple, and complex pieces of data to draw sound conclusions and arrive at optimal solutions. Demonstrates an understanding of how one issue may be a part of a much larger system. Strong technical aptitude with a passion and excitement for data, new technologies and solutions and its range of possibilities, applications, and value for the business.
High level of self-motivation and drive to meet and exceed on goals and expectations and engage and energise others to deliver on expectations. Comfortable taking decisions and dealing with a range of problem-solving challenges independently.
Collaboration and Influence: Proficiency in collaborating with cross-functional teams, building strong relationships, and influencing stakeholders to gain support for solution strategies, roadmaps, and implementation plans.
Detailed, organised and quality focused – Has an affinity for detail, structure and efficiency, balancing planning, and execution. Is diligent and vigilantly watches over work processes, tasks, and outputs to ensure accuracy while independently actioning and correcting any quality concerns.
Strong communicator and presenter – Inspire commitment. Can confidently explain and simply complex technical concepts and their real-world advantages/disadvantages to a diverse business audience. Able to compile visual reports that tells a concise and compelling story.
Ability to work under pressure and under tight time constraints, efficiently prioritising workloads, balancing multiple and competing priorities and managing time effectively in a high-volume, fast-moving environment. Enjoys challenging work and has the proven ability to effectively adapt to and manage change.
Is curious and adaptable, finds agile and rapid ways of answering business questions and implementing solutions fast. Plays an integral role in building Shoprite's data science muscle, constantly finding ways to leverage opportunities.
Strong Brand Ambassador: Actively promotes and embodies the Shoprite Group brand, driving brand awareness and competitiveness.
Implement ways of work to engage, collaborate and share across the Data and Analytics capability.
Think of this person as a lead translator of scientific approaches to business opportunities
Seniority levelSeniority level Mid-Senior level Employment typeEmployment type Full-time Job functionJob function Information Technology Industries Information Services and Retail Referrals increase your chances of interviewing at The Shoprite Group of Companies by 2x
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