Summary Role Mission We are looking for an eclectic Data Scientist with competencies spreading from data engineering and data analysis to data modeling. The Data Scientist will be a fundamental member of a cross functional Digital Analytics team composed of Data Scientists and Data Analysts. This role will work with state-of-the-art technologies for data analysis and engineering, such as cloud computing, ETL-EL frameworks, extensive use of APIs, running and optimizing daily data operations in the order of 10^12 – 10^13 bytes, and will be collaborating with other departments such as Digital Development Teams, Global Media, Customer Service, BI Engineers both at Gucci and Kering level. Job Description Key Accountabilities She/he will be carrying on the following activities: Build robust and efficient production data pipelines, ETL and EL workflows and optimize current ones, to assure continuous delivery of accurate and quality KPIs to end users. Prototype, develop and operationalize ML models to improve Customer Experience and Conversion Probability, working with Product Development teams. Generate insights using multiple data sources from our on-premises and cloud IT, create compelling stories using Powerpoint and Jupyter Notebooks, support Business leadership with ad hoc analysis. Design, deploy and maintain scalable dashboards for the top management and other internal/external stakeholders, with a focus on the backend data infrastructure. Improve and optimize current web KPIs and alert-systems using automation techniques and machine learning, write programming code ready to be integrated in production, contribute to the creation and improvement of new data sources. Be a pivotal player involved in all the data science projects across the organization, working with PMs, Engineers and Analysts from different departments both at Gucci and Kering level. Be a Data Science evangelist, spreading analytics culture at different levels, from code readability and documentation, to storytelling and knowledge sharing. Job Requirements: At least 3 years of experience in Data Scientist / Data Engineering roles, in fast paced environments. Programming proficiency in Python and data analysis modules : Pandas, NumPy, SciPy, StatsModels and Scikit-Learn. Good knowledge of SQL/DML with a focus on scalability, building fast and efficient queries or data structures (indexing, clustering and partitioning). Data engineering skills, ETL, EL, data pipelines (batch and stream jobs) and relative technologies. Cloud computing, mainly GCP. Experience on AWS appreciated. Knowledge of Data visualization tools such as Data Studio and Tableau. Experience with web APIs. Experience in operationalization of Machine Learning models and virtualization frameworks such as Docker. Ability to create and manage cross functional relationships. Positive, enthusiastic, able to take initiative with a geek-can-do attitude. Proficient in English (both written and spoken). Nice-to-have: Previous experience in a Data science consultancy team, or Digital Marketing units is a big plus. Knowledge of one or more of the following Apache frameworks: Airflow, Beam, Spark. Experience with Google Cloud Platform Services: GCS, Pub/Sub, Cloud Functions, Composer, Data Flow and Big Query. Experience in one or more of the following tools: Google Tag Manager, Google Cloud Platform, Firebase, G4, MicroStrategy. Expertise with Machine Learning supervised (linear, non-linear regression, ensemble decision trees, gradient descent boosting) and unsupervised models (K-means clustering). Knowledge of other Machine Learning/AI fields (neural networks, natural language processing, association rules etc). Other programming languages (Bash and JavaScript are very important for us). Job Type Regular Start Date 2021-02-10 Schedule Full time Organization GUCCIO GUCCI S.P.A. Posted Today Full time R051725 About Us Influential, innovative and progressive, Gucci is reinventing a wholly modern approach to fashion. Under the new vision of creative director Alessandro Michele, the House has redefined luxury for the 21st century, further reinforcing its position as one of the world’s most desirable fashion houses. Eclectic, contemporary, romantic—Gucci products represent the pinnacle of Italian craftsmanship and are unsurpassed for their quality and attention to detail. Gucci is part of the Kering Group, a world leader in apparel and accessories that owns a portfolio of powerful luxury and sport and lifestyle brands. For further information about Gucci, visit www.gucci.com .
