Global Sales Data Scientist

Job Description

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