Applied Data Scientist

  • Full-time

Company Description

Welcome to SMG!

Swiss Marketplace Group AG focuses on simplifying lives with innovative digital products, transforming industries, and promoting diversity, equity, and inclusion. Formed in 2021 through the merger of Scout24 Switzerland and TX Markets, SMG operates across real estate, automotive, general marketplaces, and finance & insurance sectors. 

Job Description

Become a part of our winning team at SMG

We hire the best digital talents from a diverse group of people to meet the highest demands of our users and customers in Switzerland. In return, we offer you an attractive, innovative, friendly and fast-paced work environment where you can reach your full potential, achieve your goals, and your successes are celebrated.

About the position 

  • Design and implement data science and machine learning capabilities to bring value to our users and solve business challenges

  • Work on mining and analysing huge sets of data to support our teams with making better data informed decision and optimize our processes across the company

  • Own and further develop our in-house models in many different areas such as inventory classification, search engine optimisation, recommendations or fraud detections

Qualifications

What we are looking for

  • 5+ years of experience in building data science models using ML and DL libraries (e.g., scikit-learn, PyTorch, Transformers, PySpark)

  • 3+ years of experience data mining with large volumes of data

  • Strong programming skills (Python)

  • Strong SQL and data modeling skills

  • Experience with ML models lifecycle management to expose models into production environments (deployment, retraining)

  • Experience with MLOps tools (e.g. MLFlow, Google Vertex AI) is a big plus

  • Ability to work well across different teams and to deal with ambiguity

  • Attention to detail in complex environments

  • Strong dedication to drive change with a positive can-do attitude

  • Capable of investigating, familiarizing and mastering new data sets quickly

  • Ability to clearly explain complex topics to technical as well as non-technical audiences

  • Proactive approach to learn and find solutions outside direct area of competence

  • Fluency in English both written and verbal, German is a plus

  • Eager to keep up to date and leverage latest ML technologies in a broad and challenging business environment

Additional Information

Benefits you'll love:

  • Be a part of well established Swiss-based subsidiary in Belgrade
  • We value work-life balance and employee happiness. That’s why we grant you hybrid work environment, and 25 vacation days per year, with the option to buy another 10 days in an unbureaucratic process. You get 5 fully paid sick days per year, and another 5 days for special occasions
  • Lots of team activities and perks
  • Great equipment, competitive salary and a variety of fringe benefits like a gym membership and discounts at local stores
  • International team and working environment of talented and fun people
  • Stimulating work experience that will allow you to grow both professionally and personally
  • Yearly budget for your personal development

About Us

SMG Swiss Marketplace Group AG. is a pioneering network of online marketplaces and cutting-edge European digital company that simplifies people’s lives with innovative products.

SMG Swiss Marketplace Group AG. provides customers the best tools to meet their life decision needs. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, alle-immobilien.chImmostreet.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24moneyland.ch).
The company was founded in November 2021 by TX Group AG, Ringier AG, La Mobilière and General Atlantic.

 

 

 

 

Disclaimer

SMG Swiss Marketplace Group AG primarily engages directly with candidates. We do not accept unsolicited resumes or candidate profiles from recruitment agencies unless we have specifically requested their assistance for particular roles. Any submissions made without a prior request from our Talent Acquisition team will not be acknowledged or considered. We appreciate the understanding and cooperation of recruitment agencies in respecting this policy.

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