Who we are
Amplifon is an Italian multinational company and the global leader in hearing care solutions and services for retail expertise, customization and consumer care. More than 20,000 professionals every day in a network of 10,000 points of sale across 25 countries, give back the joy of hearing, feeling and living to thousands of people across the world.
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 6 days/month remotely.
What we are looking for
The Global Sales Data Scientist 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.
- Use of 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.
- Collaborate with other team members across Marketing/CRM, IT, Reporting & Analytics to build shared data products, dashboards and advanced analysis.
What you'll need
- Degree in quantitative fields like Data Science, Mathematics, Statistics, Physics, Economics, Computing and Engineering.
- 3/4 years of experience in data science projects, preferably with experience in time series forecasting, optimization and classical machine learning problems.
- Previous exposure to large language models or data governance/quality tools and techniques is considered a plus.
- Able to work in synergy with 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”.
- Have a strong inclination to data analysis combined with same attention to business impacts.
- Excellent knowledge of Office package, with advanced expertise in Excel (pivot, macro, statistics formulas).
- Proficient with SQL, Python, Pandas, Scikit-learn, Tensorflow, or Pytorch.
- Working experience with PowerBI and GCP tools for data science
- Working knowledge of code versioning and testing.
- Fluent in English dge of PowerBI, SSRS, Dataiku and GCP tools for data science.
Fluent in English
Skills Required
- Degree in quantitative fields like Data Science, Mathematics, Statistics, Physics, Economics, Computing and Engineering
- 4-5 years of experience in data science projects
- Excellent knowledge of Office package, with advanced expertise in Excel
- Proficient with SQL, Python, and machine learning libraries
- Fluent in English
Amplifon Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Amplifon and has not been reviewed or approved by Amplifon.
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Strong & Reliable Incentives — Performance-related bonuses and commission structures can meaningfully lift total earnings in some sales and clinic roles. Incentives appear more favorable for high performers where targets are attainable and variable pay is a consistent part of the package.
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Healthcare Strength — Health coverage is described as comprehensive in many markets, often including core medical needs and hearing-related care. Added supports such as EAP/psychological counseling and wellness programs broaden the health-and-wellbeing value of the package.
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Leave & Time Off Breadth — Time-off offerings are frequently characterized as generous in parts of Europe, with substantial PTO allowances and additional leave provisions in some locations. Flexibility options such as hybrid arrangements further increase the perceived value of time-related benefits.
Amplifon Insights
What We Do
As the global leader in the hearing care retail industry, we have been changing the lives of millions of customers across the globe since 1950. With stores and offices spanning across 26 countries and a team of 20,300 dedicated professionals, we take pride in setting the industry standard as we empower people to rediscover all the emotions of sound. Although we are constantly growing, we have the drive of a start-up and are committed to striving for innovation every day. Whatever role our employees take on at Amplifon, they each make more possible - more brands for customers, more support for colleagues, more opportunities for their own careers and more innovative possibilities. We are guided by our values and are motivated by our purpose, ensuring each new day brings opportunities for innovation as we explore new horizons for our business, our customers and each other. At Amplifon, we make more possible. Amplifon operates in: Argentina, Australia, Belgium, Canada, Chile, China, Colombia, Ecuador, Egypt, France, Germany, Hungary, India, Israel, Italy, Mexico, New Zealand, Panama, Poland, Portugal, Spain, Switzerland, the Netherlands, UK, United States, and Uruguay. Read our Netiquette and help us create an inclusive environment to interact within: https://corporate.amplifon.com/en/netiquette?formSearchPage=true
