Director of Data Science
South West London - Onsite (5 days)
As the Director of Data Science, you will shape Zapp's data strategy, driving actionable insights from our vast and diverse datasets.
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.
Responsibilities:
Leadership and Strategy:
- Collaborate with executive leadership to integrate data science into the broader business strategy.
- Fostering a culture of innovation and collaboration.
Team Management:
- Recruit, mentor, and develop a high-performing team of data scientists.
- Manage team resources, budgets, and project timelines effectively.
Technical Expertise:
- Provide technical guidance and oversight on complex data science projects.
- Ensure the team utilises best practices and cutting-edge technologies in their work.
Data Governance and Compliance:
- Establish and maintain robust data governance practices to ensure data quality, accuracy, and compliance with regulatory standards.
- Collaborate with legal and compliance teams to address data privacy and security concerns.
Collaboration and Communication:
- Work closely with cross-functional teams, including IT, engineering, and business stakeholders, to identify opportunities for leveraging data to drive business outcomes.
- Communicate complex technical concepts to non-technical stakeholders in a clear and understandable manner.
Key Initiatives:
Supply Chain Optimization:
- 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.
Delivery Promise Time Optimization:
- Analyse historical delivery data to identify patterns, trends, and potential areas for improvement in delivery promise times.
- Develop predictive models to accurately estimate delivery times based on various factors such as customer location, rider availability, and historical performance.
- Continuously monitor and evaluate the performance of delivery promise models, making adjustments as necessary to optimise accuracy.
Recommendation Engine Development:
- Design and implement recommendation engines for personalised product suggestions and content.
- Collaborate with product teams to understand user behaviour, preferences, and feedback, incorporating these insights into Zapp’s recommendations.
- Experiment with different recommendation algorithms, A/B testing methodologies, and optimization strategies to improve the relevance and effectiveness of recommendations.
- Work closely with engineering teams to integrate recommendation models into our platforms and ensure seamless user experiences
Custom Segmentation:
- Develop and implement custom segmentation strategies based on user demographics, behaviour, and transaction history.
- Collaborate with marketing teams to identify target segments for personalised campaigns and promotions.
- Provide actionable insights and recommendations to stakeholders based on the analysis of segmented data
Preferred Skills:
- 5+ years of hands-on experience and 3+ years in a leadership role within data science in e-commerce, logistics, or a related industry
- Demonstrated success in building and leading high-performing data science teams.
- Strong proficiency in machine learning, statistical analysis, and data visualization.
- Expertise in programming languages such as Python or R.
- Excellent communication and stakeholder management skills.
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