Data Science - Frankfurt am Main, Deutschland - BD4 Group GmbH

Beschreibung

BD4 is a market-leading provider of artificial intelligence (AI) driven personalization and real-time optimized online experiences.

Our mission is to deliver the most relevant and compelling shopping experience to each and every user in real time.

The uniqueness of our award-winning solution is to "listen" and understand each individual end-user to present them with the most appropriate products, content and services at exactly the right time.

In doing so, BD4's AI technology ensures that all data collected improves the user experience in real time.

In parallel, our clients can combine their market and product knowledge with AI to implement commercial strategies and present products that support their business strategy.

Our typical clients are medium to large travel, aviation and retail companies in numerous international markets. Our clients base includes companies like Expedia, EasyJet Holidays, Emirates, Europcar, DER Touristik, Hilton and Ab-in-den-Urlaub.

BD4 is headquartered in Frankfurt am Main and serves customers in numerous international markets. We are majority-owned by dnata and are thus a company of the Emirates Group.

Due to our constantly growing customer base in different segments of the travel industry and the retail sector, we are strengthening our team with more great colleagues.

Tasks

You are a member of our data science team who develop and continuously improve our predictive models.

These models are at the core of our products and give our customer - online travel portals - a detailed picture of their users' interests, intent and current experience on the site.

• Data mining and data analyses to generate new insights and open new business opportunities.
• Develop and improve our existing predictive, explanatory models and machine learning algorithms
• Create automated learning systems that gracefully scale to increasing complexity and expectation
• Help improve the scope of our data sets by identifying new data collection and procurement opportunities on an ongoing basis
• Conduct and collaborate on A/B tests and their evaluations to help us understand better how our products are performing
• Monitor the industry for promising new approaches and technologies and evaluate its potential by developing research prototypes
• Be part of an interdisciplinary Scrum team with engineers and work closely together with the product team as well to get enhancements or new models into production.

Requirements:

• Deep understanding of techniques and tools in data analysis, machine learning, and recommendation systems
• You have strong experience in machine learning frameworks, Python and other programming languages (eg. R, Spark, TensorFlow)
• Experience in designing analytics pipelines in Azure ML or other Cloud environments
• You have good business sense and are capable of thinking holistically about how insights and deliverables feed into the wider business strategy. You have the ability to quickly understand technical information, derive insights, build solutions and work independently and responsibly with attention to detail.
• You are an effective communicator with an ability to find stories in the insights and data and explain them to diverse audiences. A creative, curious and analytical mind able to layout facts and figures to tell a clear story
• You are comfortable working with data and have practical experience with quantitative data analysis & visualization, BI tools (e.g. PowerBI), SQL queries and data pipelines. Good programming knowledge (ideally in python and pyspark) and a solid understanding of machine learning techniques is preferred. Experience working with big data tools is a plus
• You are a team player and you like working in an agile environment
• Proficiency in written and spoken English is required

Benefits:

What we offer

Our office is located on the fourth floor above the rooftops of Frankfurt - in the multicultural district of Rödelheim.

With over 600 sqm of open space office plus 300 sqm of outdoor space, everyone will find a suitable place to work.

On the spacious terraces with skyline view, you can not only work in the fresh air, but also have lunch with colleagues, barbecue or enjoy your after-work beer (or coke).

Of course, there are also options for "mobile working".

What else do we have to offer?

• A young company with a multicultural startup culture and flat hierarchies.
• Our office is conveniently located with a direct S-Bahn connection and infrastructure (and a secure bike cellar)
• Exciting challenges within the framework of an innovative and international company
• Free drinks, fruit, snacks and regular company events, yoga classes etc. as well as afterwork activities
• An attractive compensation and benefits package