Data Science & Analytics Manager

Ort: Altstadt-Nord

Unternehmen: DeepL

DeepL is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company. Our goal is to overcome language barriers and bring cultures closer together.

What distinguishes us from other companies? DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

Your Choice: We are constantly looking for outstanding employees! Currently, we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne, London or Amsterdam: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.

What will you be doing at DeepL?

As the Lead for the Product Insights team at DeepL, you'll play a vital role in helping our product teams. Reporting directly to the Head of Data Science, your role combines both leadership and strategy, placing you at a key point in DeepL's evolution. You will guide a committed team of six data scientists and analysts, fostering a culture of professional growth and continuous improvement. Strategically, your task is to shape the vision for Product Insights, incorporating inputs from various stakeholders and the team, uncovering opportunities where data science and analytics can help us evolve our product and optimise for business impact. You will work with the team to prioritise tasks and projects to align with business goals and stakeholder requirements. You will steer the rollout of complex analytics projects, promoting a spirit of collaboration within the team. Internally, you will act as a spokesperson for Data Science within the Product organisation, bringing to light its potential to improve our products and services. Operating in a dynamic environment, your role will call for creativity and resilience as you guide the team through changes, nurturing a flexible and communicative approach. Ultimately, your position at DeepL is to leverage the power of data to uncover insights and shape product development, whilst cultivating a high-performing team culture. Your work will significantly influence DeepL's overall technical strategy and roadmap, presenting a truly challenging and rewarding opportunity.

Your responsibilities

• Lead and coach a team of data scientists, maintaining high standards and a continuous learning and improvement culture. Ensure the well-being and growth of the team in a balanced, respectful, and supportive work environment.
• Define and drive the vision and strategy for Product Insights, taking into account stakeholder perspectives and team insights. Foster a collaborative approach to identify strategic opportunities where data science & analytics can make a significant impact on our product strategy and development.
• Guide the team's work so that it contributes towards strategic goals; facilitate the team's prioritisation, drive the implementation and deployment of complex analytics projects, optimise the ROI of the team; and align with other internal teams. This includes translating the vision and strategy into actionable plans, projects and tasks, and fostering a culture of shared ownership and collaboration.
• Be an advocate for data science within the Product organisation, highlighting its value and potential in improving our products and services. Champion creating a data-driven environment, constructively challenging and guiding stakeholders when necessary.
• Guide the team through ambiguity and change, promoting flexible solutions in a dynamic environment.

What we offer

• The opportunity to take responsibility as Data Science & Analytics Manager for a highly capable and motivated team.
• Meaningful work at scale: We break down language barriers worldwide and bring different cultures closer together.
• Experience the excitement of a rapidly growing scale-up! Over the last year we doubled in size, hiring new colleagues across the UK, Germany, Poland, the Netherlands and Japan.
• The opportunity to help define and further develop a market-leading international product.
• We've got your back! We are an experienced, highly committed team with transparent decision-making processes. We cherish collaboration and efficiency, but trust, empathy, inclusivity and an overall 'people-first' approach are just as important to us.
• Flexible Work Arrangements: with office hubs in Cologne, Berlin, London, and Amsterdam, you choose where and how you work. We offer fully remote work from UK/DE/NL/PL, no strings attached, no 'to be reviewed'- DeepL is a remote-positive company now and forever.
• Regular innovative team-building events- internationally!

About you

• You have a proven track record of leading and growing data science or analytics teams in fast-paced environments, with specific experience in product analytics within an organisation with a strong experimentation culture.
• You bring technical expertise in Data Science/Analytics and related technologies to the table, and have a keen understanding of the strategic role Analytics plays in product development.
• You have proven experience in delivering value through Data Science/Analytics, both as an individual contributor and as a manager.
• You have previous experience in translating complex business requirements into actionable data science and analytics projects.
• You have excellent communication skills and can work with cross-functional teams, including product and data science.
• You have a solution-oriented mindset and can navigate through ambiguity and change effectively.
• You have a good understanding of modern product organizations and product lifecycle.
• You are fluent in English, which is our company language.

Please make sure to send your application in English. We're looking forward to your application!