Specialist Data Scientist Madrid, Spain Data & Analytics CoE.Product Engineering Posted 14 hours ago

Vodafone Group Plc; Madrid; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading telecommunications company in Madrid seeks a Specialist Data Scientist to build and maintain data science products. You will manage the analytics portfolio and drive innovation through analytical techniques. Ideal candidates have experience in data analytics and strong skills in Python. This role offers a hybrid work model and a variety of benefits, including meal vouchers and remote work options.

Servicios

Hybrid work model

Bonus on top of the gross salary

Meal voucher (Ticket Restaurant)

Flexible working hours

Intensive Summer Schedule

Private Health and Life Insurance

25 vacation days

Optional Pension Plan

Access to online learning platform

Formación

• Experience in data analytics (data science, data analysis, data engineering).
• Strong understanding of analytical techniques (ML/statistical modelling).
• Hands-on experience with Python and familiar with the standard data science stack.

Responsabilidades

• Build and maintain reusable data science products and services.
• Manage the analytics portfolio to meet stakeholder needs.
• Drive innovation by employing new analytical techniques.

Conocimientos

Data analytics experience

Analytical techniques (ML/statistical modelling)

Hands-on experience with Python

Data science stack (Pandas, NumPy, scikit-learn)

Data handling (SQL, BigQuery)

Agile working experience

Building AI solutions

Visualisation tools (Qlik, Tableau, PowerBI)

Cloud platforms (GCP, AWS, Azure)

Advanced English

Descripción del empleo

Specialist Data Scientist Madrid, Spain

Overview

• This vacancy is part of VOIS Spain, legal entity part of Vodafone Group.
• Come and join us to create the future together!

Responsibilities

• Build and maintain reusable data science products and services.
• Manage the analytics portfolio by continuously improving existing products and developing new ones based on stakeholder needs.
• Drive innovation by employing new analytical techniques (descriptive, predictive, and prescriptive).
• Collaborate with Product Design Leads and partner organizations (DAIS) to embed analytics.
• Ensure best practices and standards for software development in Data Science are followed.

Qualifications

• Experience in data analytics (data science, data analysis, data engineering).
• Strong understanding of analytical techniques (ML / statistical modelling).
• Hands-on experience with Python.
• Familiarity with the standard data science stack (Pandas, NumPy, scikit-learn).
• Experience with data handling: SQL / BigQuery.
• Experience in an agile way of working.
• Experience building AI solutions.
• Experience with visualisation tools like Qlik, Tableau, or PowerBI.
• Experience with cloud platforms like GCP, AWS, or Azure.
• Advanced level of English.

Benefits

• Hybrid work model
• Bonus on top of the gross salary
• Meal voucher (Ticket Restaurant)
• Flexible working hours from Monday to Thursday, and an intensive schedule on Fridays
• Intensive Summer Schedule during July and August
• Up to 20 days per year of 100% remote work from other locations
• Private Health and Life Insurance for employees
• 25 vacation days, plus December 24th and 31st off
• Optional Pension Plan
• Access to an online learning platform for continuous training

Experience

• Less than 2 years
• 2 - 4 years
• 4 - 8 years
• 8+ years

At Vodafone, we are dedicated to fostering a diverse and inclusive work environment. We take pride in our commitment to providing equal opportunities to individuals of all backgrounds and abilities. We firmly believe that diversity includes a spectrum of experiences, and we welcome and support individuals with functional diversity. We are committed to making reasonable accommodations to ensure that everyone can fully participate and excel in our organization. We value the unique perspectives and talents that individuals with functional diversity bring to our team and consider them an integral part of our success and innovation. We recognize and celebrate the importance of diversity and inclusivity in our workplace so that we are as diverse as the customers and communities we serve. We do not tolerate any form of discrimination especially related to but not limited to race, colour, age, veteran status, gender identification, sexual orientation, pregnancy, ethnicity, disability, religion, political affiliation, trade union membership, nationality, indigenous status, medical condition, HIV status.