Lead Data Scientist Real Estate - f|m|d - 80-100%- Germany - hybrid work model

Company Description

Welcome to SMG Swiss Marketplace Group AG

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

Job Description

As a Lead Data Scientist at Swiss Marketplace Group's  Real Estate Business Unit, you will help us build 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 data science, machine learning, and statistical analysis.
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 capabilities to bring value to our users and solve business challenges
• You will lead data-science projects or teams to align with business needs and deliver value.
• You will provide technical guidance, and suggest best practice, and drive team agreements related to best practices.
• You will perform extensive 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 contribute to building and improving data products 
• 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

Qualifications

• Knowledge about data lineage, data transformation, data modelling, data storage, data access and data quality assessment techniques
• Experience working with high-volume of heterogeneous data
• 5+ years of experience in building data science models
• Strong programming (Python &  SQL) and data modelling skills
• Experience with bringing models to a production environment (deployment, retraining)
• Successful track records of productionizing machine learning models
• Ability to work well/synergize 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
• Capable of investigating, familiarizing and mastering new data sets quickly
• A proactive approach to learning and finding solutions outside the direct area of competence
• Fluency in English both written and verbal and German/French is a plus
• Eager to keep up to date and leverage the latest ML technologies in a broad and challenging business environment

Additional Information

Benefits you´ll love

• 6 weeks of vacation (with the possibility of acquiring up to 10 additional days).
• 40 hour week (flexitime with cap at 45 hours 🡲 we take work life balance seriously)
• SBB Half-Fare Card
• Between the different locations in Switzerland you travel in 1st class
• 18 weeks maternity and 6 weeks paternity leave (also in case of adoption)
• Professional accident and additional insurance (100% covered by SMG)
• No fixed office days (you work where you feel most comfortable)
• Independent counseling center for personal and psychological problems
• Gender-neutral fair pay with clearly defined career profiles
• Choose your hardware (Mac or Windows + 2 monitors for home)
• Choose your phone (iPhone, Samsung or Pixel)