Senior Data Scientist Consultant

2 settimane fa

Milano, Lombardia, Italia Global ATS - Italian A tempo pieno
Advanced Data and Analytics Team

We are seeking a skilled Data Scientist Senior Consultant to join our team in Milan. As a key member of our Advanced Data and Analytics team, you will be responsible for delivering high-quality data solutions to our clients.

Key responsibilities include:

- Analyzing and modeling structured data using advanced statistical methods and implementing algorithms and software needed to perform analyses.
- Building recommendation engines, spam classifiers, sentiment analyzers, and classifiers for unstructured and semi-structured data.
- Clustering large amounts of user-generated content and processing data in large-scale environments using Hadoop and Spark.
- Performing machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
- Driving client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management; communicating results and educating others through reports and presentations.
- Performing explanatory data analyses, generating and testing working hypotheses, preparing and analyzing historical data, and identifying patterns.

Requirements include:

- A Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Bioinformatics, Physics, Operations Research, or related fields.
- Proven experience as a Data Scientist, with participation in Advanced Data Analysis challenges.
- Experience with command-line scripting, data structures, and algorithms, processing large amounts of data in a cloud environment.
- Knowledge of data extraction and processing, using MapReduce, Pig, and/or Hive, preferred.
- Knowledge of programming languages (Java, Python, SCALA, Ruby) as well as the ability to implement, maintain, and troubleshoot big data infrastructure, such as distributed processing paradigms, stream processing, and databases such as Hadoop, Storm, SQL, and Solr.
- Strong knowledge in at least one of the following fields: machine learning, statistical modeling, data mining, or cognitive computing.
- Proficiency in analytics and Data Science tools (R, SAS, Phyton, Knime, Spark, Matlab) and packages.
- Proficiency in English, ideally improved through an educational/working experience abroad.
- Willingness to work side by side with clients according to project needs.

You are a problem solver who never loses focus, can easily build strong relationships, and fosters collaboration. You are able to inspire confidence in our clients and empower change through high motivation and enthusiasm. You are challenged by dynamic and evolving working environments, where your leadership skills are highly appreciated.

Our clients are demanding a broad mix of Advisory Services as they seek to address the myriad of challenges and opportunities presented by a persistently volatile and complex economic environment. Our Advisory experts work across the corporate health spectrum covering areas as diverse as profitability, transformation, technology, risk, growth, structure, and operations.

The required data will be managed in compliance with the European legislative Decree no. 679/2016 (General Data Protection Regulation - "GDPR") and later modifications or integrations.

KPMG Advisory is an equal opportunities employer.

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