About MultiVersity
We are reshaping the digital education landscape as a leader in the Italian edTech industry. Our foundation is rooted in Italy, and we have expanded regionally, driving innovation in learning methods and technology solutions.
Our goal is to empower students, educators, and institutions to reach their full potential in an increasingly digital world by blending pedagogical expertise with digital tools and addressing the varied needs of today's learners.
About the Role
This Senior Data Scientist position is pivotal in harnessing statistical analysis and machine learning techniques to extract insights from our Data Lake, directly impacting the educational experience we offer.
Responsibilities:
* Data Governance Lead: Ensure data integrity, quality, and compliance throughout our organization.
* Machine Learning Expert: Develop personalized learning paths based on student data using advanced machine learning models.
* Data Analyst: Analyze and interpret complex datasets from our Data Lake, turning data into actionable insights that inform our educational strategies.
* Cross-Functional Team Collaborator: Work closely with various teams to understand data needs and deliver effective solutions.
* Industry Staying Ahead: Stay current with the latest trends and developments in data science, machine learning, and educational technology.
* Integration Specialist: Collaborate with IT and academic teams to integrate data science methodologies into our educational platforms.
* Communication Expert: Communicate complex data findings in a clear and effective manner to non-technical stakeholders.
Qualifications
* Advanced Degree: A master's or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
* Experience: At least 5 years of experience in a data science role, with a focus on data governance, machine learning, and Data Lake management.
* Data Lake Expertise: Profound understanding and experience managing Data Lakes, preferably within AWS environments.
* Statistical Analysis & Machine Learning: Strong proficiency in statistical analysis and machine learning algorithms.
* Leadership Skills: Demonstrated ability to lead projects and manage small teams.
* Problem-Solving Skills: Excellent problem-solving skills and ability to work in a dynamic environment.
* Effective Communication: Strong communication skills, both written and verbal.