Lead Data Scientist

SMG Swiss Marketplace Group
Zürich, Switzerland
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Remote
Zürich, Switzerland

Tech stack

Artificial Intelligence
Data analysis
Computer Programming
Information Engineering
Data Hub
Data Transformation
Data Security
Software Debugging
Fraud Prevention and Detection
Python
Machine Learning
SQL Databases
Data Storage Technologies
Feature Engineering
Data Ingestion
Generative AI
Data Lineage
Marketplace

Job description

As a Lead Data Scientist at Swiss Marketplace Group's Real Estate Business Unit, you will contribute to the data hub for the leading real estate platforms in Switzerland, which includes homegate.ch and immoscout24.ch, among others. You will be part of a cross-functional, agile data team with an open mindset and teammates who enjoy learning new skills and sharing theirs.

The Lead Data Scientist will be responsible for developing and implementing data science solutions that drive business growth and innovation. The ideal candidate will have a strong background in building data science, machine learning, and generative AI use cases. The Lead Data Scientist is a senior-level position strongly focused on technical leadership (100% hands-on) and opens a path to a technical career track.

About The Position

  • You will design and implement data science and machine learning use cases to bring value to our users and solve business challenges
  • You will be the tech lead for data-science projects and teams to align with business needs and deliver value
  • You will provide technical guidance, suggest best practices, and drive team agreements related to best practices
  • You will perform exploratory data analysis on large and complex datasets to identify patterns, trends, and relationships, and ultimately generate high-quality data and relevant hypotheses
  • You will lead implementations of Generative AI use cases, from conceptualization & experimentation to implementation and monitoring
  • You will develop and apply ML/AI techniques and best practices for reliable, scalable, and ethical data-driven solutions
  • You collaborate with stakeholders to understand the specific objectives and goals of projects, and aid in designing a formal way of evaluating the systems' performance against these
  • You will write, review, and debug code for complex projects and lead solution development and alignment
  • You will own and further develop our in-house models in many different areas, such as inventory classification, predictions, recommendations or fraud detection
  • You will report directly to the Head of Data Engineering & Science, To take advantage of this opportunity, please send us your detailed CV in English and feel free to include any supporting documents that will help us understand why you are the perfect fit.

Requirements

  • 5+ years of experience in building data science projects
  • Deep understanding of data science pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
  • Experience with data lineage, data transformation, data modelling, data storage, data access, and data quality assessment techniques is essential for effective model development and productionalization
  • Experience working with a high volume of heterogeneous data
  • Strong programming in Python (and preferably also SQL) and data modelling skills
  • Experience with bringing models to a production environment (deployment, retraining, experiment tracking )
  • Successful track records of productionizing machine learning models
  • Capable of investigating, familiarising, and mastering new data sets quickly
  • Ability to work well/synergise with different teams and to deal with ambiguity
  • Attention to detail in complex environments
  • Strong dedication to driving change with a positive can-do attitude
  • A proactive approach to learning and finding solutions outside the direct area of competence
  • Fluency in English, both written and verbal
  • Eager to keep up to date and leverage the latest ML technologies in a broad and challenging business environment

Benefits & conditions

  • 6 weeks of holidays per year (plus option to buy 10 extra)
  • 40-hour work week with flexitime (capped at 45 hours)
  • A hybrid work setup with flexibility to work remotely
  • Generous parental leave: 18 weeks for maternity and 6 weeks for paternity/adoption
  • SBB Half-Fare Card and first-class travel between SMG offices in Switzerland
  • Gender-neutral pay and transparent career paths
  • Choose your gear: Mac or Windows laptop, and iPhone, Samsung, or Pixel mobile
  • An inclusive and innovative environment where your voice matters

Recruitment Process We believe hiring is a two-way street, where both parties get to know each other. Here's what you can expect:

  • Initial Screening Call with a recruiter
  • Hiring Manager interview
  • Technical Assessment / Case Study
  • Team Fit Meeting

About the company

Welcome to SMG Swiss Marketplace Group AG

We are a pioneering network of online marketplaces and a cutting-edge European digital company that simplifies people’s lives with innovative products.

A little bit about us to help ignite your imagination
SMG Swiss Marketplace Group AG came together following the merger of Scout24 Switzerland and TX Markets in 2021. A union which included some of Switzerland’s most well-known leading marketplaces.

Our exciting portfolio currently spans four business areas and 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).

Become a part of our winning team at SMG
We hire the best digital talents 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.

Apply for this position