Corporate CRM Data Scientist

Job Description

The Corporate CRM Data Scientist has a key role in all CRM analysis and activities due to the wide view on data across all Max Mara Brands, empowering other departments like marketing, customer engagement to deliver personalized experiences. Data extraction, preparation and quality are key responsibilities for this role.

Among its objectives, there are also those of identifying relevant and pertinent findings and insights through the use of statistical, algorithmic, data extraction and visualization techniques; integration and preparation of large and varied data sets, designing targeted databases, computing environments consistent with the analysis purposes and communicating the results.

Following Corporate CRM guidelines and Senior Data Scientist lead, the CRM Data Scientist will translate data into actionable insights, developing models, segmenting customers, and predicting behavior to optimize marketing campaigns and drive loyalty.

Key Responsibilities:

• Data Governance:

  • Ensure data quality and integrity.

  • Prepare data sets for visualization dashboards.

  • Identify and prevent misalignments.

  • Maintain compliance with data privacy regulations.

• Data Analysis and Modeling:

  • Collect, clean, and analyze customer data from various sources.

  • Develop and implement statistical and machine learning models to predict customer behavior and identify opportunities for personalization.

  • Segment customer base and develop targeted marketing strategies.

  • Deals with the pre-processing of more adequate analysis structure and presents data and analyzes effectively to internal stakeholders

  • Uses machine learning tools and statistical techniques to produce solutions to emerging problems

• Insight Generation:

  • Translate data analysis into clear and actionable insights for business stakeholders.

  • Create reports and visualizations to communicate findings effectively.

  • Capitalizes on the use of insights, findings, datasets and statistical models for various business need

• CRM Strategy:

  • Collaborate with CRM team to develop and implement data-driven CRM strategies.

  • Measure and optimize the effectiveness of customer oriented campaigns (marketing and customer engagement).

  • Identify and highlighting KPIs and customer metrics that are relevant to the business.

  • Identify outliers and start a first analysis to be able to scout possible element of interest.

Qualifications

• Education: Degree in Mathematics, Statistics, Engineering, Artificial Intelligence, Computer Science, or a related field.

• Experience: 2+ years of experience in data science or analytics, with a focus on CRM.

• Skills:

  • Strong knowledge of statistical and machine learning techniques.

  • Proficiency in SQL and Python or R.

  • Experience with data visualization tools (e.g., Tableau).

  • Familiarity with cloud platforms (e.g., AWS, GCP, Azure)

  • Excellent communication and presentation skills.

  • Ability to work independently and as part of a team.

• Additional Skills (Plus):

  • Understanding of customer journey mapping.

  • Understanding of marketing funneling

• Languages

  • Knowledge of the English language, both written and spoken at least at B2 level