Data Scientist

Vodafone Automotive; Vizzola Ticino; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy is seeking a Data Science Architect to explore and design architectures that leverage AI and data solutions. This role blends strategic vision and hands-on expertise, integrating AI innovations with business priorities. The ideal candidate has a Master’s degree and at least 2 years of experience, with strong knowledge in machine learning, data processing, and programming. Fluent English is required, and experience in embedded software is appreciated.

Competenze

• Fluent in English.
• Minimum 2 years of experience in data science or related field.
• Desired experience in embedded software.

Mansioni

• Act as an innovator studying new technologies.
• Integrate and unify siloed solutions within the organization.
• Support delivery processes and ensure architecture implementation alignment.

Conoscenze

Machine learning methods

Programming in Java

Programming in PL/SQL

Programming in R

Distributed big-data environment (Spark, Hadoop)

Signal processing techniques

Sensor data filtering and manipulation

Digital integration technologies (API, streaming/queuing)

Digital channels technologies (portals, mobile app, CRM)

Basic electronic skills

Formazione

Master Degree or higher in Engineering / Computer Science / Mathematics / Statistics / Physics

Descrizione del lavoro

Vodafone Automotive is looking for a Data Science Architect, a key figure in exploring, innovating, and designing architectures that maximize the value of Artificial Intelligence and advanced data solutions across the company’s technology landscape.

This role combines strategic vision with hands‑on expertise, ensuring that AI and data innovation initiatives are aligned with business priorities and seamlessly integrated into the enterprise ecosystem.

As part of the Technology Architecture team, the Data Science Architect will work closely with the Innovation & Services Platforms group to shape how AI and data innovation deliver measurable value to the business.

Key accountabilities

Impact on the business

• Act as a cutting‑edge innovator who continually studies new technologies and functionalities, pushing the capabilities of emerging technologies.
• Integrate and unify siloed solutions within the organization.
• Support delivery processes by reviewing end‑to‑end architecture implementation and ensuring alignment with the original solution design.

Leadership and teamwork

• High standards of integrity.
• Supportive of other team members and offers help when other’s deadlines are looming.
• Acquires a sufficient knowledge and understand of WBS work and responsibilities in order to proactively assist where possible.
• Building strong working relationships, within a diverse multinational environment, with a good understanding of cultural differences.

Innovation and change

• Acts quickly when change is needed.
• Identifies solutions to increase efficiency and effectiveness of the running of the office.
• Always looks for opportunities to make a difference.
• Proactively plans ahead.

Core competencies, knowledge and experience:

• Strong knowledge of machine learning methods
• Programming skills in Java, PL/SQL and R
• Desired experience in distributed big‑data environment (Spark, Hadoop, etc …)
• Knowledge of signal processing techniques
• Sensor data filtering and manipulation
• Knowledge of digital integration technologies (API, streaming/queuing systems) and digital channels technologies (portals, mobile app, CRM)
• Basic electronical skills are preferential.
• Measurement capability in electronical laboratory (oscilloscope etc …).
• Knowledge of National Instrument framework.
• Nice to have: knowledge of monovariate and multivariate statistical methods.

Must have technical / professional qualifications:

• Fluent English.
• Master Degree or higher in Engineering / Computer Science / Mathematics / Statistics of Physiscs.
• Minimum 2 years of experience.
• Would be appreciated previous experience in embedded software.