Senior Data Scientist

Merkle's Data Science team is seeking an individual to join its workforce. The chosen candidate will be placed in a young, dynamic landscape, with cross-functional skills and a strong focus on teamwork, mutual cooperation and individual initiative. Together with other team members, he/she will handle and analyze large data from the web (digital marketing), customer CRMs, external data sources, feature development of machine learning algorithms and use of various advanced analysis, information management and reporting tools. Job Title: Senior Data Scientist Job Description: Key responsibilities: Understanding and analysis of business problems for solution or optimization with analytical and statistical methods, with traditional and Big Data approaches. Design and execution of complex analyses, from the understanding of customer requirements to the collection and presentation of results. Management and analysis of large volumes of data, with various tools and architectures (Google Cloud Platform, BigQuery, Google Cloud Storage, Jupyter notebooks). Development, release, and maintenance of machine learning models of various types and purposes. Interaction with colleagues from other departments to identify issues requiring solutions based on the use of data. Qualifications: Master's degree in mathematics, statistics, or related fields. 4+ years of experience in data analysis and modeling. Understanding of the principles of statistical modeling, particularly referring to clustering, classification and regression algorithms. Knowledge of at least one of the following data analysis languages: Python, R. Proficient in SQL. Excellent communication skills and able to present conducted activities and obtained results. Fluency in English, both spoken and written. Strong teamwork skills. The profile concludes with: Ability to work under tight deadlines. Passion, creativity, and enthusiasm. The willingness to participate and learn. Flexibility. #LI-DNI Location: Milan Brand: Merkle Time Type: Full time Contract Type: Permanent