Director of Data Science

Zapp

Jun 21

Applications are closed

Job
Full-time
Senior & Expert Level
Data
London

Requirements

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.

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

FAQs

What are the key responsibilities of the Director of Data Science role at Zapp?

The key responsibilities include shaping the data strategy, driving actionable insights from datasets, building and leading a team of data scientists, and developing data-driven solutions for the company's success.

What qualifications and experience are required for the Director of Data Science position at Zapp?

Candidates should have a strong background in data science, experience leading a team of data scientists, expertise in data analysis and visualization, and a track record of implementing successful data-driven solutions.

How does the Director of Data Science collaborate with cross-functional teams at Zapp?

The Director of Data Science works closely with cross-functional teams to develop and implement data-driven solutions, ensuring that data insights are integrated into the company's overall strategy and decision-making processes.

What is the importance of data strategy in the Director of Data Science role at Zapp?

Data strategy is crucial in driving actionable insights from diverse datasets, guiding the team's efforts in leveraging data to make informed decisions that contribute to the company's success.

Zapp

Transforming convenience retail

Retail & Consumer Goods

Industry

501-1000

Employees

2020

Founded Year

Mission & Purpose

Zapp is building the future of convenience with a full stack approach to on-demand essential items, 24/7, delivered in minutes. Customer obsession is at the heart of everything we do, and from founders to riders we are relentlessly focused on delighting our customers. We are backed by the worlds leading investors and our team has scale-up and exit experience at companies such as Amazon, Jumia, Deliveroo, Tesco, Stuart and Just Eat. If you’re ready to help build the world’s most customer-focused company, get in touch.