Amplifon
Global Sales Data Scientist - L. 68/99 e L. 69/99 (Categorie protette)
Job Location
Milano, Italy
Job Description
Social network you want to login/join with: col-narrow-left Client: Amplifon Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 9bcb2877b67e Job Views: 2 Posted: 29.06.2025 Expiry Date: 13.08.2025 col-wide Job Description: Who we are Amplifon is an Italian multinational company and the global leader in hearing care solutions and services. With over professionals and a network of points of sale in countries , Amplifon helps people rediscover the emotions of sound. The company values people as the key to its success, offering growth opportunities in a multicultural and international environment. Amplifon has been recognized as a " Top Employer " in Europe, North America, Latin America, Australia, and New Zealand by the Top Employers Institute. Additionally, we are proud to be the first Italian multinational to be certified among the Global "Leading Employers". This recognition spans all countries where we operate. In Amplifon, we believe people are the most important component of our success. Thanks to our best-in-class Hearing Care Professionals and front and back-office Teams, we are able to put the everyday taps, pops, and splashes back into the lives of our customers. We believe that it’s only through strong investment in talent engagement, continuous professional development, support, and recognition that our people can exceed every limit and build a fulfilling career. Aligned to this goal, we offer a hybrid working policy, allowing employees to work days/month remotely. What we are looking for The Global Sales Data & Analytics Specialist will join our Global team of Retail Excellence covering a key role in the development of advanced analysis, machine learning models, and data visualization products. With exposure to the entire retail business, you will work to optimize sales strategies to generate new business opportunities and growth. Main activities: Works on strategically identified, cutting-edge data science use cases that cover the entire sales journey. Uses advanced analytics methods to extract insights from business data. Performs analysis and builds data-driven models to answer business questions and needs. Create hypotheses and experiments to identify hidden relationships to direct new Sales strategies. Develops visualizations and presentations to influence key stakeholders in implementing key recommendations from data science initiatives. Develops machine learning models with the aim to facilitate Sales processes. Collaborates with other team members across Marketing/CRM, IT, Reporting & Analytics to build shared data products, dashboards, and advanced analysis. Skills and Experience: Degree in quantitative fields like Data Science, Mathematics, Statistics, Physics, Economics, Computing, and Engineering. At least 3-5 years of experience in data science projects, preferably covering digital, customer, or retail data science with experience in churn analytics, text analytics, customer segmentation, customer lifetime value model development, and supporting operations. Proficient with PowerBI, SQL, Python, Pandas, Scikit-learn, Tensorflow, or Pytorch. Previous exposure to large language models or data governance/quality tools and techniques is considered a plus. Able to build long-lasting relationships with peers in the organization based on trust. Able to manage and coordinate the work of external resources, helping in the development of models and analysis. Open-minded to change and always seek to improve your way of working, knowledge, and attitude. A self-starter approach with the confidence to look beyond the “here and now” for the “what could be”. Ability to work in a fast-paced environment, with conflicting time demands and multiple stakeholders. Have a strong inclination to data analysis combined with the same attention to business impacts. Possess strong analytical skills, mathematic abilities, and critical thinking, with clear and open communication, relational, and team-building skills. Excellent written and verbal communication skills with the ability to share information. Excellent knowledge of Office package, with advanced expertise in Excel (pivot, macro, statistics formulas). Working knowledge of code versioning and testing. Nice to have: knowledge of Dataiku and GCP tools for data science. J-18808-Ljbffr
Location: Milano, Lombardia, IT
Posted Date: 7/4/2025
Location: Milano, Lombardia, IT
Posted Date: 7/4/2025
Contact Information
Contact | Human Resources Amplifon |
---|