Data Scientist (f/m/x) - #2196201

bonial helps you save time, money and paper!

We are a digital advertising partner for offline businesses - we support retailers in their marketing activities and help them find a new audience. Would you like to join and be a part of digitalisation of retail?

bonial is part of Axel Springer SE and is the leading "Drive to Store" partner in Germany and France. Every day we inspire millions of users by connecting them to their favourite shops and brands via our platforms "kaufDA" and "MeinProspekt" in Germany, and “bonial” in France.

bonial welcomes both full- and part-timers!

INTRODUCTION

Data @ Bonial

At Bonial, the Data Team is one of the hubs between Online Marketing, Product, IT, Operations and Sales. It's a unique position as we can explore data from different aspects and bring valuable insights to the company. Our mission is to transform data into the source of truth and thereby enable Bonial employees to make smarter decisions. We turn data into information then into knowledge, help teams understand their capabilities, support teams in shaping the right questions for their challenges and teach them how to use the tools we provide. Our success would be to transform Bonial decision making process from gut feeling into a scientific approach.

Your responsibilities:

We're looking for an experienced Data Scientist with a curious analytical mindset and strong product intuition to join our Data team. You will be able to consult different teams on both technical and non-technical applications of data science.

You will be responsible for...

• Designing and building production-ready predictive models or machine learning algorithms
• Optimizing our personalization algorithms
• Crunching, analyzing and investigating large amount of data to discover trends and patterns
• Investigating new machine learning techniques and tools, educating others on the possible applications of these techniques
• Visualizing your analysis in a way that everyone gets it at first glance
• Collaborating with different teams/departments to proactively suggest improvement points, using your initiative to develop new topics
  
  
  

Your profile:

You have ….

• A ‘can-do’ attitude with a passion for analytics and the insight it can provide
• At least 2 years of experience as a data scientist
• A degree in Mathematics, Statistic or Computer Science; graduate degree in Data Science or another quantitative field is preferred
• Good knowledge of Python, SQL or R
• Experience in practical application of machine learning or predictive analytics
• Ability to convey complex issues to a non-technical audience with a high level of abstraction
• Experience in data visualization
• Experience using AWS
  
  
  

It would be a plus if you have …

• Experience with PySpark or SparkR
• Experience building APIs
• Experience using Git, Containers, Airflow
• Experience with ML Ops
  
  
  

What we can offer you:

Diversity - proud to be an equal opportunity workplace where we aim to enable everyone to show up as their full selves. We are committed to equal employment opportunity and to being a safe space regardless of race, religion, sex, sexual orientation, age, disability, gender, gender identity or gender expression.

Development - strong support for your professional development, backed-up by a feedback culture to help you identify your strengths and opportunities.

Wellbeing - we believe mental health is as important as being fit. That's why we're giving you free access to nilo.health, a mental health app. In terms of physical training, other than our awesome gym in the office, we also cover part of the subscription to the Urban Sports Club. We can also offer you a corporate pension scheme so you don't have to worry about your retirement.

Sustainability - together with our Green team, we offer you the opportunity to engage in projects that promote sustainability, environmental development and the impact that we make on our planet.

Flexibility - at the moment, we offer flexible hours, a hybrid setup, and the option of working from abroad. We offer 28 days of holiday, additionally, you get an extra day for each calendar year (up to 30 days) and other occasions (moving, working on a social project, etc).

Modern office - Zen Rooms where employees can pray, relax or simply have some quiet time; fully equipped gym in the office, and a roof terrace for amazing social events.

Free lunch – whenever you’re at the office, we offer you different lunch options – and it’s all on us! Enjoy your lunch at a nearby restaurant that partners with us! Hot and cold drinks, fruit, regular varied and healthy breakfasts and other snacks at the office are, of course, always available for free for our employees.

Social Culture – which encourages people to start conversations, build relationships and participate together in the community through regular team events.

Visa Sponsorship – we provide visa sponsorship for those of you who are eager to join us from outside of Germany.

If you think you could fit the bill, we'd love to hear from you!

You can check out our bonial_people Instagram or read more about bonial culture and tech on Medium.