Lead Data Science | 100% | Hybrid Working Model | Zurich Switzerland

Lead Data Science (f|m|d) | 100% | Hybrid working model | Zurich SwitzerlandCompany DescriptionWelcome to SMG Swiss Marketplace Group!SMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products.We operate leading marketplaces across real estate, automotive, general classifieds, and finance & insurance. We’re driven by our values: Better Together, Aim High, and Act Responsibly.Job DescriptionMeet the team!At SMG, our strength lies in our people. Meet some of the team members with whom you could work:Janine Lee - Director Data - LinkedInDmytro Yurchenko - Senior Machine Learning Engineer - LinkedInVukasin Vasiljevic - Machine Learning Engineer - LinkedInMarcel Schumacher - Data Product Manager - LinkedInAs 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 and , 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 PositionYou will design and implement data science and machine learning use cases to bring value to our users and solve business challengesYou will be the tech lead for data-science projects and teams to align with business needs and deliver valueYou will provide technical guidance, suggest best practices, and drive team agreements related to best practicesYou will perform exploratory data analysis on large and complex datasets to identify patterns, trends, and relationships, and ultimately generate high-quality data and relevant hypothesesYou will lead implementations of Generative AI use cases, from conceptualization & experimentation to implementation and monitoringYou will develop and apply ML/AI techniques and best practices for reliable, scalable, and ethical data-driven solutionsYou 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 theseYou will write, review, and debug code for complex projects and lead solution development and alignmentYou will own and further develop our in-house models in many different areas, such as inventory classification, predictions, recommendations or fraud detectionYou will report directly to the Head of Data Engineering & ScienceQualificationsWhat will you bring to the ride?5+ years of experience in building data science projectsDeep understanding of data science pipelines, including data ingestion, feature engineering, model training, deployment, and monitoringExperience with data lineage, data transformation, data modelling, data storage, data access, and data quality assessment techniques is essential for effective model development and productionalizationExperience working with a high volume of heterogeneous dataStrong programming in Python (and preferably also SQL) and data modelling skillsExperience with bringing models to a production environment (deployment, retraining, experiment tracking )Successful track records of productionizing machine learning modelsCapable of investigating, familiarising, and mastering new data sets quicklyAbility to work well/synergise with different teams and to deal with ambiguityAttention to detail in complex environmentsStrong dedication to driving change with a positive can-do attitudeA proactive approach to learning and finding solutions outside the direct area of competenceFluency in English, both written and verbalEager to keep up to date and leverage the latest ML technologies in a broad and challenging business environmentAdditional InformationWhat do we offer? ?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 remotelyGenerous parental leave: 18 weeks for maternity and 6 weeks for paternity/adoptionSBB Half-Fare Card and first-class travel between SMG offices in SwitzerlandGender-neutral pay and transparent career pathsChoose your gear: Mac or Windows laptop, and iPhone, Samsung, or Pixel mobileAn inclusive and innovative environment where your voice mattersRecruitment ProcessWe 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 recruiterHiring Manager interviewTechnical Assessment / Case StudyTeam Fit MeetingApply Now! We are looking forward to getting to know you!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.#LI-HybridAbout UsSMG Swiss Marketplace Group is a pioneering network of online marketplaces and a cutting-edge digital company that simplifies people’s lives with innovative products.SMG Swiss Marketplace Group provides customers with the best tools to meet their life decision needs. The portfolio includes Real Estate (ImmoScout24, Homegate, Flatfox, , , , Publimmo, , CASASOFT, IAZI), Automotive (AutoScout24, MotoScout24), General Marketplaces (, , Ricardo) and Finance & Insurance (FinanceScout24, ).DisclaimerSMG Swiss Marketplace Group primarily engages with candidates directly. 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. jid2a4ed9dpn jit0207pn jiy26pn