Applied Data Analyst/Scientist (f|m|d) (80-100%) - Sophia-Antipolis - Hybrid Work

SMG Swiss Marketplace Group

Valbonne

Hybride

EUR 45 000 - 70 000

Plein temps

14 jours+
Générateur de candidature

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Avantages offerts par ce poste

Training and conference budget
Hybrid work mode
Fresh fruits and free coffee
Free charging station for electric cars
Friday drinks & seasonal parties
Be-yearly company party
12 recovery days in addition to holidays
Lunch ticket EUR 12.-
Swimming pool and tennis courts access

Résumé du poste

Join SMG Swiss Marketplace Group as an Applied Data Analyst/Scientist in Sophia Antipolis. You will design ML capabilities and analyze data, helping to optimize processes across the company. Offering a dynamic work environment and hybrid work options, this role is suited for experienced data professionals eager to make an impact.

Qualifications

  • 5+ years experience with ML and DL libraries.
  • 3+ years experience in data mining large datasets.
  • Strong SQL skills with effective data modeling.

Responsabilités

  • Design and implement data science and ML capabilities.
  • Analyze large data sets to support decision making.
  • Develop in-house models for various applications.

Connaissances

Machine Learning
Deep Learning
Data Mining
SQL
Model Lifecycle Management
MLOps
Team Collaboration
Attention to Detail
Problem-Solving
Communication

Outils

scikit-learn
PyTorch
Transformers
PySpark
MLFlow
Google Vertex AI

Description du poste

Applied Data Analyst/Scientist (f|m|d) (80-100%) - Sophia-Antipolis - Hybrid Work
Applied Data Analyst/Scientist (f|m|d) (80-100%) - Sophia-Antipolis - Hybrid Work

1 week ago Be among the first 25 applicants

We are a pioneering network of online marketplaces and a leading European digital company that simplifies people's lives with forward-looking products.

Our office is located in the technology park of Sophia Antipolis. We have a hybrid work mode with two days (of your choice) in the office per week and up to three days working from home.

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 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

Love the sunshine and the tech vibes of Sophia-Antipolis? Perfect! We're looking for local talent who can enjoy at least 2 days a week in our awesome office.

Additional Information

Benefits you’ll love:

  • Training and conference budget available for everybody
  • Hybrid work mode with 2 days/week in the office
  • Fresh fruits and free coffee @ Office
  • Free charging station for electric cars
  • Friday drinks & seasonal parties
  • Be-yearly party with all our colleagues
  • 12 recovery days in addition to the 25 holidays
  • Lunch ticket EUR 12.-
  • Swimming pool and tennis courts in free access right next to the office

If this job speaks to you, please don't hesitate to apply.

Please send your CV in English including a daytime number where we can reach out to you.

This position is open to all candidates eligible to work in France and available to work on the Côte d'Azur.

To learn more about us, visit our Welcome To the Jungle page!

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.ch, Immostreet.ch, home.ch, Publimmo, Acheter-Louer.ch, CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (anibis.ch, tutti.ch, Ricardo) and Finance & Insurance (FinanceScout24, moneyland.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.

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

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