Milano, MI, Italia

Data Scientist

€ 35000 - € 40000
01/09/2022
No freelancer
20% remoto
Full Time

SQLRPythonPandasMicrosoft Power BIGoogle Cloud PlatformApache Spark

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Data Scientist

Descrizione dell'offerta di lavoro

  • Permanent employment at the client-company (CCNL Commercio; maximum salary up to 40k)
  • Workplace: Milan with the possibility smartworking 1 day a week.

For a leading customer in the luxury sector, the brand has teamed style with ongoing technological research, we are looking for a DATA SCIENTIST.

The position is part of WW Digital Intelligence and reports to the Data Science Coordinator.

KEY ACTIVITIES

  • Build statistical models, segmentations and cluster analyses;
  • Develop and implement advanced analytics across CRM team, Digital team, regions and business units;
  • Complete ad-hoc analytics projects (i.e. customer profiling, cross-shop analyses,…);
  • Collaborate with analytics leader to provide comprehensive analysis and to generate actionable insights and customer-centric recommendations that drive business performance;
  • Drive the adoption and success of predictive and descriptive statistical techniques – e.g. propensity models, segmentations, cluster analyses, etc…;
  • Be passionate about the transformative power of data; continue to learn best in class data analytics.

PROFILE

  • Advanced quantitative degree (Statistics, Mathematics, Computer Science or related field), software engineering background;
  • 2+ years hands-on experience analyzing large databases;
  • Experience with customer data and analytics such as customer profiling, segmentation and recommandation;
  • Statistics skills: machine learning; experience in building, training, scoring, tuning and maintaining predictive models;
  • Proven experience with GCP, focus on ML and AI;
  • Computer and Programming Skills: Experience in visualization (PowerBi, Tableau), coding, big data technologies, data science and/or modeling software (SQL, R, Python, Spark);
  • Experience leveraging and analyzing unstructured data, i.e., social media data;
  • Team player; ability to work with a diverse set of professionals;
  • Excellent follow-through, prioritization skills, and attention to detail;
  • Ability to transform data to create a story with actionable insights.

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