Senior Data Scientist (m/f/d)

We are home24, the leading home & living e-commerce platform in continental Europe and Brazil. We are currently active in eight countries and in 2018, we became a publicly listed company in Germany. Over 1,000 Homies work together towards a common goal: to create happy homes for everyone and every budget.

How can we reach this goal? With an assortment of over 100,000 pieces of furniture and accessories from more than 500 suppliers, we offer the perfect addition to any living space combined with the comfort of being able to shop from anywhere.

What makes us proud to be Homies? We are pioneers in our market who seamlessly combine technology and creativity. We utilize data to provide personalized recommendations, tips and inspiration for every home.

At home24, we strive to deliver a superior assortment of products and the best service. To do this, we need fresh ideas, 100% motivation, and dedication to our company mission. We always have a space at our table for service-minded individuals who are passionate about digitization and modern living.

Senior Data Scientist (m/f/d)

Your Responsibilities

• You drive data science projects to optimize and automate our Commercial steering covering topics such as Forecasting, Assortment, Pricing, etc.
• You provide guidance to the team on methodical decisions and act as a mentor for their individual development
• You act as a thought leader and proactively come up with proposals for improved analytics and automation in various business areas
• You use state-of-the-art classification and time series models to address complex problems such as demand forecasting or assortment decisions
• You design and evaluate theoretical models and assess them in terms of meeting their business objectives
• You integrate machine learning models into production systems in collaboration with our data engineers

Your Profile

• PhD or MSc degree in a quantitative field such as Mathematics, Physics, Statistics, Economics, Computer Science or a related area
• Comprehensive experience with integrating data science methods into business processes and a good judgement of which model to use and when
• Practical experience in training and integrating machine learning models such as logistic regression, random forests, support vector machines, neural networks
• Analytical skills that put you at the top of the class
• Experience with and solid knowledge of cloud technologies, preferably AWS
• First experience of software engineering techniques including version control, continuous integration, unit testing
• High proficiency in at least one analytical programming language (preferably Python)
• Ability to tell a story about data, to explore and reveal patterns, and to communicate to stakeholders about your discoveries and hypotheses
• Strong communication skills
• First experience in successfully managing teams

What we offer you

• The chance to make an impact
• The opportunity to work alongside a highly motivated team of professionals
• Exciting projects across the eCommerce value chain and responsibilities right from the start
• Close mentoring from experienced professionals to help you making the next step in your career
• An open-minded culture ready to incorporate new and creative ideas
• Room for growth and development within your role and within the company
• Benefits including employee discounts on our entire assortment, team events, free fruit and drinks, German language classes and more!

If you want to become part of a thrilling success story -- we are looking forward to your application. Please send us your resume, cover letter and all relevant documents together with your salary expectations and the earliest possible starting date via softgarden.

Your home is surely filled with furniture of varying materials and styles. The same is true for home24 as an employer. We celebrate the diversity of the people who work with us. Be who you are and feel welcome to #makeyourselfathome24

Then what are you waiting for? Apply now!

Apply now!

Then what are you waiting for? Apply now!

Apply now!