About the roleWe are looking for a Data Scientist to join our Vodafone Business Big Data & Artificial Intelligence team, to work alongside 20+ experienced, dynamic, and passionate data scientists focused on both internal and external data monetization projects. Some of our exciting projects include data engineering massive volumes of real-time, location-based data and then applying statistical analysis, making predictions on time series data, and running simulation scenarios to make recommendations, utilizing unsupervised learning to detect anomalies, developing data visualizations and dashboards for different business areas, deploying supervised learning models in production on public cloud architectures to optimize marketing campaigns, etc. If these projects spark your interest, you love technology and its applications, and you are an effective team player with excellent communication skills...we are looking forward to meeting you!Key ActivitiesData Science: Descriptive and predictive analytics: selection, definition, and execution of adequate algorithms, models, tests, visualizations, etc.Technology: Selection, definition, and execution of adequate programming frameworks, file formats, data storage solutions, automatic data flows, etc.Architecture: Define and/or follow best practices for Big Data & Analytics & AI use cases using on-premises solutions as well as public cloud services.Management: Report to project managers, clients, external and/or internal teams. Estimate resources and timelines for different tasks during the project life cycle.Innovation: Awareness of and continuous training in state-of-the-art techniques, models, frameworks, and tech approaches to be applied to DS & AI activities.Education / ExperienceDegree in Computer Science, Engineering, Mathematics, or related field, required2 years of professional experience in Data Science related positions, requiredEnglish proficiency, requiredMaster's in Data Science, AI, Data Engineering, or any data-related field, desiredPhD and/or research experience, desiredRequired Technical skills:Experience with handling code repositories using Git.Expertise in at least one Cloud environment (preference on GCP, AWS) on data related services+3 or 4 of the following:Proficiency in Python: experience handling and contributing to complex Python projects (multi-module projects, Object Oriented Programming projects – inheritance and classes, inter-dependencies between projects), building quality and production-ready code in a complex project using an IDE.Proficiency in Spark: understands the concept of Spark DAG, master node, executor nodes, experience on debugging a Spark execution using the Spark UIs (e.g. debugging a memory error), knows how to appropriately size up and set up a Spark cluster (either in Dataproc - GCP, or in EMR - AWS), and to choose the optimal spark properties (number of executors, memory, degree of parallelism, etc.) based on the cluster configuration.Proficient in Python and SQL programming languages for data analysis, data manipulation and Machine Learning (e.g., pandas, scikit-learn), with special emphasis in distributed computing frameworks (e.g., PySpark).Apply appropriate ML and AI models to problems, evaluating the outcomes to maximize business impact with critical thinking.A strong understanding of probability theory, statistical inference, hypothesis testing, and experimental design is required for decision making with data.Data visualization, bringing data-driven solutions and business context together.Knowledge of designing and building APIs with best practices.Deploying and supporting Machine Learning models in live cloud environments: ML Engineering and MLOps in AWS/GCP/Azure.Applying Data Engineering best practices for designing, building, and maintaining data pipelines and ETL processes (e.g., Apache Airflow).Non-technical skillsExcellent communication skills with the ability to communicate complex technical concepts effectively to non-technical stakeholders.The drive for continuous learning to stay up to date on the latest advancements in AI and data science methodologies and tools.Experience working in a team environment, demonstrating collaborative problem-solving abilities.Proven experience in managing stakeholder expectations and ensuring successful project delivery.What's in it for you?????We offer hybrid (2 days in the office) Madrid or Málaga. Intensive schedule on Summer (July and August) Health Insurance & Life insurance.25 days holiday + December 24th and 31st.Restaurant tickets. 4 weeks to work 100% remote inside Spain. Online training.50% discount in Vodafone products. #LiHybrid REF: 237344Not a perfect fit?Please, apply with an English version of your CV.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.Our mission is to create an accessible workplace where all team members can thrive, regardless of their unique abilities or challenges. 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, social origin, cultural background, social or marital status.Worried that you don't meet all the desired criteria exactly?At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. So, if you're excited about this role but your experience doesn't align exactly with every part of the job advert, we encourage you to apply as you may be just the right candidate for this role or another role, and our recruitment team can help see how your skills fit in.
