Director of Data Science and Analytics

1 week ago

London, Greater London, United Kingdom Zapp Full time

Job Title: Director of Data Science and Analytics

Company: Zapp

Location: South West London

Job Type: Full-time

About Us:

Zapp is a leading e-commerce company that is revolutionizing the way people shop and interact with products. We are seeking a highly skilled and experienced Director of Data Science and Analytics to join our team.

Job Summary:

We are looking for a talented and innovative Director of Data Science and Analytics to lead our data science team and drive business growth through data-driven decision making. The successful candidate will have a strong background in machine learning, statistical analysis, and data visualization, and will be able to communicate complex technical concepts to non-technical stakeholders.

Key Responsibilities:

Leadership and Strategy:

  • Collaborate with executive leadership to integrate data science into the broader business strategy.
  • Foster a culture of innovation and collaboration within the data science team.

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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