<p><strong>Director of Data Science <br>Vauxhall, London - Onsite (5 days)</strong></p><p dir="ltr">As the Director of Data Science, you will shape Zapp's data strategy, driving actionable insights from our vast and diverse datasets. </p><p dir="ltr">You will build and lead a team of talented data scientists, working closely with cross-functional teams to develop and implement data-driven solutions that contribute to the company's overall success.<br></p><p><strong>About Us</strong></p><p>Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes.</p><p dir="ltr"><strong>Responsibilities:</strong></p><p dir="ltr"><em>Leadership and Strategy:</em></p><ul><li>Collaborate with executive leadership to integrate data science into the broader business strategy. </li></ul><ol></ol><p dir="ltr"><em>Team Management:</em></p><ul><li>Recruit, mentor, and develop a high-performing team of data scientists.</li><li>Manage team resources, budgets, and project timelines effectively.</li></ul><p dir="ltr"><em>Technical Expertise:</em></p><ul><li>Provide technical guidance and oversight on complex data science projects.</li><li>Ensure the team utilises best practices and cutting-edge technologies in their work.</li></ul><p dir="ltr"><em>Data Governance and Compliance:</em></p><ul><li>Establish and maintain robust data governance practices to ensure data quality, accuracy, and compliance with regulatory standards.</li><li>Collaborate with legal and compliance teams to address data privacy and security concerns.</li></ul><p dir="ltr"><em>Collaboration and Communication: </em></p><ul><li>Work closely with cross-functional teams, including IT, engineering, and business stakeholders, to identify opportunities for leveraging data to drive business outcomes.</li><li>Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.</li></ul><p dir="ltr"><strong>Key Initiatives:</strong></p><p dir="ltr"><em>Supply Chain Optimization:</em></p><ul><li>Combine historical purchasing trends with forward-looking signals to help the business procure just the right amount of products at the right time to the right locations.</li></ul><ol></ol><p dir="ltr"><em>Delivery Promise Time Optimization:</em></p><ul><li>Analyse historical delivery data to identify patterns, trends, and potential areas for improvement in delivery promise times.</li></ul><ul><li>Develop predictive models to accurately estimate delivery times based on various factors such as customer location, rider availability, and historical performance.</li></ul><ul><li>Continuously monitor and evaluate the performance of delivery promise models, making adjustments as necessary to optimise accuracy.</li></ul><p dir="ltr"><em>Recommendation Engine Development:</em></p><ul><li>Design and implement recommendation engines for personalised product suggestions and content.</li></ul><ul><li>Collaborate with product teams to understand user behaviour, preferences, and feedback, incorporating these insights into Zapp’s recommendations.</li></ul><ul><li>Experiment with different recommendation algorithms, A/B testing methodologies, and optimization strategies to improve the relevance and effectiveness of recommendations.</li><li>Work closely with engineering teams to integrate recommendation models into our platforms and ensure seamless user experiences</li></ul><p dir="ltr"><em>Customer Segmentation:</em></p><ul><li>Develop and implement custom segmentation strategies based on user demographics, behaviour, and transaction history.</li></ul><ul><li>Collaborate with marketing teams to identify target segments for personalised campaigns and promotions.</li></ul><ul><li>Provide actionable insights and recommendations to stakeholders based on the analysis of segmented data</li></ul><p dir="ltr"><strong>Preferred Skills:</strong></p><ul><li><strong></strong>5+ years of hands-on experience and 3+ years in a leadership role within data science in e-commerce, logistics, or a related industry</li><li>Demonstrated success in building and leading high-performing data science teams.</li><li>Strong proficiency in machine learning, statistical analysis, and data visualization.</li><li>Expertise in programming languages such as Python or R.</li><li>Excellent communication and stakeholder management skills.</li></ul> •
Last updated on Feb 12, 2024