Global Sales Data Scientist
Confirmed on the employer's own hiring board on Sep 24, 2026. First seen by Alion on Sep 23, 2026.
Who we are
Amplifon is the global leader in the hearing care retail industry. Since 1950 we’ve been changing the lives of millions of customers all around the world. And though we are a global company that’s constantly growing, we have a start-up approach and strive for innovation every day. We take pride in setting the standard for our industry and constantly challenge and improve the customer and employee experience.
More than 20,000 professionals every day in a network of 9,500 points of sales, spread throughout 24 countries and 5 continents, give back the joy of hearing, feeling and living to thousands of people across the world.
About the role
The Global Senior 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.
Key Responsabilities
- 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.
Required Skills & Experience
Professional Experience
- 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.
- 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
- 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.
Mindset & Soft Skills
Location: HQ Milan, Italy (Hybrid - allowing employees to work 6 days per month remotely)
Compensation & Benefits
Applicable Collective Agreement: CCNL Commercio (Terziario, Distribuzione e Servizi)
Contractual Level: Employee Level 1
Contract Type: Permanent - Full Time
The reference Gross Annual Salary is approximately in the range of €42.000 - €55.000. The actual compensation will be commensurate with the candidate’s experience and specific skills and knowledge and also to the educational background.
The position is also eligible for an annual Company bonus (‘premio di risultato’) linked to business performance, in line with Company policies.
Benefits
€750 Annual Welfare plan for your personal well-being across a wide range of services
Health Insurance: Fondo Est healthcare coverage + an additionalAccident Insurance
Supplementary pension scheme: option to enrol in the Fondo Fon.Te with employer contributions
Office Perks: On-site canteen and free company parking
Growth & Development: Free access to learning platforms and training programs. We provide access to continuous learning opportunities because we believe in investing in professional development.
Well-being: Special corporate discounts, services to support you and your loved ones, moments dedicated to your wellbeing and physical health.
Equal Opportunities Statement
Amplifon is an equal opportunity employer committed to providing a diverse and equitable workforce environment. We believe that through valuing our uniqueness and respecting our differences, we can achieve more, and that diversity adds to our culture. We encourage applications from all genders, corners of the world and individual backgrounds.