Manager Data Science, FinTech

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Fintech is looking for a Data Science insights Manager to join its growing team in Amsterdam. The Payments and Fintech Data Science team covers a wide spectrum of topics. Examples include experimental design for product changes, proof of value for new product opportunities such as flexible booking products, obsessing over the customer journey to unlock new opportunities, designing anomaly detection methods for product performance, predicting partner and customer churn, and forecasting product demand. All this is achieved by working closely with our product and tech teams to deliver world class products.

The Manager DSI thinks strategically and identifies areas where data science can make a significant impact on the supporting department, builds team(s) by coaching and mentoring and translates data science vision and strategy. As managers, they are expected to be leaders in the area of data science and to have experience as Data Scientist Insights.

What you’ll be doing:

Leadership:

• Think strategically and identify areas where data science can make a significant impact on the supporting department (scope)
• Build a strong team within their area, by coaching and developing Individual Contributors and Team Leaders (if applicable).
• Be able to prioritize work depending on business needs and keeping stakeholders aligned at all times.
• Translate data science insights vision and strategy into execution keeping in mind the needs and specificities of the team and the scope.

Commercial Awareness:

• Play an instrumental role in evolving and designing new applications of data science to business problems.
• Take ownership and understand goals and objectives of supporting business partners, translating them into DSI requirements/framework.

Craft:

• Bring vision and strategy to improve efficiency in the way data science teams work.
• Drive implementation and deployment of complex projects within the scope.
• Work closely with the other managers to ensure teams are always working towards what’s most important for the customers and to help the department achieve its goals.
• Work closely with team members to ensure data quality, provide technical and tactical support, remove roadblocks and provide active support.
• Drive actions from stakeholders leveraging expertise in data visualization and storytelling skills.

Communication:

• Is capable of articulating complex concepts in simple terms to senior stakeholders.
• Is the advocate of data science with their main stakeholder(s).
• Work closely with other internal entities to ensure their teams are always working towards what’s most important for customers and to achieve high business impact.
• Ensure clear and effective communication to their stakeholders: proactively keeps all stakeholders informed of what’s happening, upcoming changes, projects, issues, etc.

What you’ll bring:

• Experience solving real problems using data mining techniques and with statistical rigor.
• Ability to coach and mentor team members on the best tools and techniques to tackle their challenges, or guide them to experts in the area.
• Ability to build a strong team within their area, designing and iterating team processes, and maintaining a healthy, collaborative and open culture.
• Strong technical skills regarding data analysis, statistics, machine learning and programming. Working knowledge of Hadoop, Spark, SQL, Python and/or R.
• Expert in translating business problems into data problems.
• Strong data visualization skills and experience in storytelling with data.
• Working knowledge of Statistical Methods (e.g. Testing, GLM, Inference), Statistical/Machine Learning (e.g. Dimension Reduction, Clustering, Neural networks, Regularisation, Bagged/Boosted methods), Time Series, Natural Language Processing etc
• Strong knowledge of data management (engineering, data pipelines, workflows).

What we offer

• Headquarters located in one of the most vibrant cities in Europe: Amsterdam
• Contributing to a high scale, complex, world renowned product and seeing real-time impact of your work on millions of travellers worldwide
• Working in a fast-paced and performance driven culture
• Opportunity to utilize technical expertise, leadership capabilities and entrepreneurial spirit
• Promote and drive impactful and innovative engineering solutions
• Technical, behavioural and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation
• Competitive compensation and benefits package and some great added perks of working in the home city of Booking.com

 About BKNG 

Booking Holdings is the world leader in online travel & related services. Our teams work around the clock to build and improve the technology that empowers people to more freely travel across borders, time zones, languages and cultures. At Booking Holdings, we make it easier for everyone to experience the world every day through seamless technology powered by our six major brands: 

• Booking.com
• KAYAK
• priceline
• agoda
• Rentalcars.com
• OpenTable

Through the Booking Holdings brands, we help our customers reach all corners of the earth. Our ability to provide great service rests on how well we understand our diverse customer base, which is why having a diverse team is so important to us. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.