p Company Description /ppstrongWelcome to SMG Swiss Marketplace Group! /strong /ppSMG is a pioneering network of online marketplaces and a leading European digital company that simplifies people’s lives with forward-looking products.brWe 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. /pp Job Description /ppstrongMeet the team! /strong /ppstrongAt SMG, our strength lies in our people. Meet some of the team members with whom you could work: /strong /pulliJanine Lee - Director Data-stronga LinkedIn /a /strong /liliDmytro Yurchenko - Senior Machine Learning Engineer -stronga LinkedIn /a /strong /liliVukasin Vasiljevic - Machine Learning Engineer -stronga LinkedIn /a /strong /liliMarcel Schumacher - Data Product Manager - stronga LinkedIn /a /strong /li /ulpAs a strongLead Data Scientist /strong 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. /ppThe 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. /ppstrongAbout The Position /strong /pulliYou will design and implement data science and machine learning use cases to bring value to our users and solve business challenges /liliYou will be the tech lead for data-science projects and teams to align with business needs and deliver value /liliYou will provide technical guidance, suggest best practices, and drive team agreements related to best practices /liliYou 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 /liliYou will lead implementations of Generative AI use cases, from conceptualization experimentation to implementation and monitoring /liliYou will develop and apply ML/AI techniques and best practices for reliable, scalable, and ethical data-driven solutions /liliYou 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 /liliYou will write, review, and debug code for complex projects and lead solution development and alignment /liliYou will own and further develop our in-house models in many different areas, such as inventory classification, predictions, recommendations or fraud detection /liliYou will report directly to the Head of Data Engineering Science /li /ulp Qualifications /ppstrongWhat will you bring to the ride? /strong /pulli5+ years of experience in building data science projects /liliDeep understanding of data science pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring /liliExperience with data lineage, data transformation, data modelling, data storage, data access, and data quality assessment techniques is essential for effective model development and productionalization /liliExperience working with a high volume of heterogeneous data /liliStrong programming in Python (and preferably also SQL) and data modelling skills /liliExperience with bringing models to a production environment (deployment, retraining, experiment tracking ) /liliSuccessful track records of productionizing machine learning models /liliCapable of investigating, familiarising, and mastering new data sets quickly /liliAbility to work well/synergise with different teams and to deal with ambiguity /liliAttention to detail in complex environments /liliStrong dedication to driving change with a positive can-do attitude /liliA proactive approach to learning and finding solutions outside the direct area of competence /liliFluency in English, both written and verbal /liliEager to keep up to j4id a j4it0208a j4iy26a /ul /li
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