Milano
Data
Full - Time
05-Jan-2022

At L’Oréal we are seeking a Lead Data Scientist to help us unlock the power of data to transform our business. In this role, you will work closely with business leaders to identify issues and use data to propose solutions for effective decision making. You will build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to the business and the wider organisation

Leveraging machine learning tools and statistical techniques, your main goal will be to produce solutions to business problems, test data mining models and select the most appropriate ones. 

To do so, you will need to conduct research from which you'll develop prototypes and proof of concepts and maintain clear and coherent communication to let your key stakeholders understand data and strategic insights.

To excel in this position you will need solid experience in the use of different data mining and analysis tools, in the implementation of models, algorithms and simulations and a demonstrated ability to drive business results starting from quantitative evidence, showing an aptitude for identifying actionable solutions to business challenges. Eventually, you will need to be comfortable collaborating with a large number of partners and stakeholders both internally and externally.

Responsibility

• Working with internal interlocutors within the organization to define requirements and identify opportunities for using data to guide business solutions;

• Analyze data from different sources to support the optimization of product development, marketing, strategy and activation activities;

• Validate the efficiency and accuracy of sources and data acquisition techniques;

• Develop and implement classic ML models and statistical models in order to obtain actionable business insights;

• Use descriptive and predictive models to improve the customer experience, revenue generation and advertising targeting;

• Apply test methodologies (A/B and multivariate) and model quality validation;

• Liaise with the Engineering / IT team to implement new Data Pipelines.

• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods.

• Identify opportunities to use insights/datasets/code/models across other functions in the organisation (mainly in the e-commerce/CRM, Finance and Marketing areas).

• Being able to stay up to date with the latest technology, techniques and methods.

• Lead external technology partners to scale analytics project for success.


Requirements

• Degree in scientific disciplines: statistics, mathematics, physics, computer engineering or other quantitative faculty. Possession of a doctorate will be considered a preferential requirement;

• 5-7 years of work experience in the use of large data sets for the construction of statistical models and their implementation and maintenance;

• In-depth knowledge of advanced statistical techniques and concepts and machine learning techniques (supervised and unsupervised algorithms) and their application;

• Advanced use of open-source Python programming languages with a focus on application to data mining and machine learning and SQL for the analysis and creation of tables;

• Experience in the use of the following Python modules: NumPy, pandas, Keras, PyTorch, TensorFlow, sklearn, scipy, matplotlib, seaborn, nltk 

• Previous experience in using cloud analytics platforms such as Google Cloud Platform (GCP), including Big query, Composer, Vertex AI;

• Knowledge and use of Data Visualization tools. Knowledge of DOMO or Data Studio will be considered a preferential requirement;

• Strong orientation towards continuous learning and self-training, especially in the scientific field

• Knowledge of Google analytics, adobe campaign or Liveramp is advantageous.

• Excellent written and oral communication skills and a good ability to explain and summarize complex concepts in a simple way to audiences of technicians and non-technicians

• Fluent in Italian and English

• Eligible to work in Italy without sponsorship

About us

Our mission is to provide the best in cosmetics innovation to all women and men around the world. We want to bring beauty to all people. Thanks to data to help decision-making and insight generation, we leverage the best of Tech to enhance the way we work and serve our consumers, constantly adapting to the new world. Delivering Tech solutions in fast sprints through an agile approach is becoming our way of working. Technology is at the heart of our approach to Beauty, from research to production, from distribution to communicating with our consumers, and we are looking for you to lead the change and innovate for the future of Beauty.
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