Overview
Introduction. At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
Your Role and Responsibilities
We are looking for a Data Scientist who will support our products, service sales and delivery team with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. You must have strong experience using a variety of data mining / data analysis methods, using a variety of data tools, building and implementing models, using / creating algorithms and creating / running simulations. You must have a proven ability to drive business results with your data-based insights. You must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Qualifications
Strong problem solving skills with an emphasis on product installation, configuration and tuning.
Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
Experience working with and creating data architectures.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages / drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
Excellent written and verbal communication skills for coordinating across teams.
A drive to learn and master new technologies and techniques.
Education and Experience
Preferred Education: Bachelor's Degree
Required Technical and Professional Expertise: Machine learning methods and techniques
Knowledge of statistical analysis and concepts, mathematics and data mining
Experience in pattern recognition and predictive modeling
Italian as a mother tongue
Preferred Technical and Professional Experience
Work with Hiring Manager to ID up to 3 bullets max. You can get inspired by these few examples below.
Expertise in Data and IT Technologies: Deep expertise requires an expert technical level in data and IT software technologies including IBM Cloud Pak for Data, Red Hat OpenShift, IBM Db2, COGNOS, IBM Watson Studio and related AI frameworks or equivalent enterprise solutions.
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