Global Sales Data Scientist - L. 68/99 e L. 69/99 (Categorie protette)
Global Sales Data Scientist - L. 68/99 e L. 69/99 (Categorie protette)
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Job Description
Who we are
Amplifon is an Italian multinational company and the global leader in hearing care solutions and services. With over 20000 professionals and a network of 10000 points of sale in 26 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 2025 in Europe North America and Latin America Australia and New Zeland by the Top Employers Institute. Additionally we are proud to be the first Italian multinational to be certified among the Global Leading Employers 2025. This recognition spans all 26 countries where we operate.
In Amplifon we believe people are the most important component of our success. Thanks to our bestinclass Hearing Care Professionals and front and backoffice Teams we are able to put the everyday taps pops and splashes back into the lives of our customers. We believe that its 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 hybryd working policy allowing employees to work 9 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 cuttingedge data science use cases that cover the entire sales journey.
- Uses advanced analytics methods to extract insights from business data.
- Performs analysis and builds datadriven 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 23 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 Scikitlearn Tensorflow or Pytorch.
- Previous exposure to large language models or data governance/quality tools and techniques is considered a plus.
- Able to build longlasting 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 selfstarter approach with the confidence to look beyond the here and now for the what could be.
- Ability to work in a fastpaced environment with conflicting time demands and multiple stakeholders
- Have a strong inclination to data analysis combined with same attention to business impacts.
- Possess strong analytical skills mathematic abilities and critical thinking a clear and open communication relational and team building skills.
- Excellent written and verbal communication 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.
- Fluent in English
Per questa posizione si considerano candidati che siano iscritti alla lista delle Categorie Protette e beneficiari della legge 68/99.
Required Experience:
Exec
Employment Type
Full-Time
