Senior Data Scientist (m/f/d)

Permanent employee, Full-time · Berlin

About us

We are Visual Meta, a successful & profitable internet company founded in 2009 and acquired by the Axel Springer Group in 2011. Operating from our well-designed office in the middle of Berlin, we run 13 comparison shopping portals in Europe under the brands LadenZeile and ShopAlike. Together, the sites drive up to 500,000 sessions a day, list 200 million offers from thousands of online shops and help consumers save time and find the product they love.

Our vision is to become a top reference for connecting online shops and consumers by creating reach for the shops and orientation for the consumers through cutting-edge tools and technologies. We work with the professionalism of a successfully grown company, while fostering the culture of a start-up. Our office is like a micro melting pot, where inspired individuals from all over the world connect their cultures, ideas and skills. In an atmosphere that is built on appreciation – right from the start. Every one of our 219 employees plays a vital role in our success story. If you want to be part of that and actively shape the future of e-commerce, then seize the opportunity and join our team!

Your mission at Visual Meta? As a Senior Data Scientist (m/f/d) you will be a crucial part of our in-house BI team. Our BI team has a direct impact on our company's success and provides stakeholders from all departments with compelling data backed stories and analyses which are fundamental to making the right strategic decisions. Within this role you will have the opportunity to work with large data sets and apply your statistical skills to help answer challenging questions that impact the entire company.
Your challenges and tasks
  • You drive business critical projects to improve core user experience, such as product sorting and personalization 
  • You collaborate with in-house machine learning experts to push the boundaries of our current technology, as well as help to define requirements for future initiatives 
  • You design, develop and improve our in-house modeling solutions, such as our revenue projections 
  • You enrich the analytical methodology in the data area by performing rigorous analysis
  • You integrate fundamental steps into our analytical framework such as data cleansing, smart feature selection, and backtesting 
  • You understand the business impact/implications of your work and are comfortable explaining your techniques to other audiences 
  • You follow-up on regular data anomalies to better understand the underlying factors and you escalate when warranted 
  • You contribute to the business intelligence team and data area’s overall statistical knowledge by educating and/or coaching when needed 
  • You support cross departmental initiatives to increase the ability for our data to be used to make decisions quickly and effectively 
You offer
  • A university degree in a relevant academic discipline (e.g. statistics, mathematics, etc.) or equivalent professional experiences (eCommerce experience preferred)
  • Solid experience in a similar role with increasing data science related responsibilities 
  • Ownership of your work end to end; a strong sense of self sufficiency in your tasks will be expected 
  • Strong applied statistical Python/R skills in a business environment
  • Fundamental statistical understanding and the ability to apply that knowledge to solve complex problems and answer difficult questions 
  • A desire to be an ambassador for your profession and strongly work towards bringing your insights and methodologies to a larger audience
  • Excellent communication skills in spoken and written English including the ability to to present your work to all corporate levels 
What we offer
  • We design code that matters - be part of our agile environment (Scrum), work with the latest technology and participate in regular tech-events (e.g. hackathons) 
  • We love diversity - our team contains over 50 nationalities 
  • We see your development as our priority - profit from a structured onboarding process, internal and external training possibilities as well as room for further professional development  
  • We take responsibility - with us you have the option to become socially involved (e.g. charity lunch) 
  • We care for you - benefit from a company pension plan, flexible working hours, 27 vacation days, healthy snacks and sport activities (yoga, soccer, volleyball) 
  • We enjoy spending time together - join in for Friday beers, movie nights, team events, table football and ping-pong 
Is this the job you are looking for?
Go ahead and submit your application in English including CV, salary expectations and your availability. Your designated Talent Acquisition Manager Lascha Barbakadze is looking forward to your application!
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