Data Science Team Lead, Global Salon
London
Kao Corporation
The Kao Americas Region is one of Kao’s global business regions that’s making life beautiful for our consumers, communities and employees.Who we are:
Founded in Japan in 1887, Kao is passionate about making a difference in people’s lives with our high quality products and services to create a Kirei Life for all – a beautiful life that respects the needs of our consumers and customers as well as the planet. We never compromise on quality and craft our products with care for the consumer and the environment. As a company driven by purpose and strong corporate values we pride ourselves to be listed among the World´s Most Ethical Companies for 18 consecutive years. Our corporate philosophy, the Kao Way, guides us in everything we do – acting with integrity, courageously driving innovation and treating each other with trust and respect.
The role:
As the E-Commerce Data Science Team Lead with Kao, you will play a pivotal role heading up our data science initiatives across various e-commerce channels. Reporting into our Head of Transformation for the Global Salon business, you will be responsible for managing a small team of talented data scientists and analysts, guiding them in leveraging data-driven insights to optimize our online sales strategies, improve customer experiences, and maximize revenue. This is an exciting opportunity to create something new, cooperating with Kao's IT function and the business to utilise a range of data science tools and technologies and bring real commercial value through the power of data.
This is a full-time, permanent role with hybrid working out of our London or Darmstadt offices.
What you will do:
- Leadership: Lead, mentor, and inspire a team of data scientists and analysts to deliver impactful insights and solutions
- Strategy: Collaborate with cross-functional teams to develop and execute data-driven strategies to drive e-commerce growth and enhance customer engagement
- Analytics: Oversee the analysis of e-commerce data to identify trends, patterns, and opportunities for optimization, including customer segmentation, product recommendations, and pricing strategies
- Modeling: Develop predictive models and machine learning algorithms to forecast sales, personalize marketing efforts, and optimize inventory management
- Experimentation: Design and analyze A/B tests and experiments to evaluate the effectiveness of different e-commerce initiatives and drive continuous improvement
- Stakeholder Engagement: Communicate findings and recommendations to senior leadership and other stakeholders, influencing decision-making and driving alignment across the organization
- Technology: Stay up-to-date with the latest tools and technologies in data science and e-commerce analytics, and champion their adoption within the team
- Collaboration: Foster a collaborative and inclusive team culture, encouraging knowledge sharing, innovation, and professional development
What you will need:
- Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; advanced degree preferred
- Proven experience (5+ years) in e-commerce analytics, data science, or a related field, with at least 2 years in a leadership role
- Strong proficiency in programming languages such as Python or R, as well as experience with SQL and data visualization tools
- Deep understanding of e-commerce metrics, platforms, and technologies, with a track record of driving business impact through data-driven decision
- Prior experience working in the beauty or cosmetics field to bring an understanding of the data and dashboards required by the business
- Business-fluent English language skills, with the ability to communicate verbally and in writing with technical and non-technical colleagues
How we work: Having been selected among the World´s Most Ethical Companies for 18 consecutive years, we are a company with a purpose and strong corporate values. We never compromise on quality and craft our products with care for the consumer and the environment. At Kao, each employee can actively shape their job and their career. We work collaboratively to achieve our common goals, always aiming to deliver the best for our customers.
What we offer: A friendly and flexible work environment with competitive salaries, benefits package, ongoing development and the opportunity to enhance your skills and deliver tangible results. At Kao your voice will be heard. Your opinion really counts. We believe that change comes from taking opportunities into your own hands, so we value and reward entrepreneurial thinking and innovation.
Hiring Process: Kao embraces the diversity and the individual personalities of its people because we believe it is diversity that makes us strong. This is why we welcome applications from all areas of the global community.
Want to learn more: If you feel you are as unique as our products and want to find out why 33,000 people across the globe opted for a career with us please visit https://www.kao.com/emea/en/
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data visualization E-commerce Machine Learning Mathematics Python R SQL Statistics
Perks/benefits: Career development Flex hours Startup environment
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