DirecciónWe 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 are looking forward to meeting you!
Key Activities
- Data 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 / Experience
- Degree in Computer Science, Engineering, Mathematics, or related field, required
- 2 years of professional experience in Data Science related positions, required
- English proficiency, required
- Master’s in Data Science, AI, Data Engineering, or any data-related field, desired
- PhD and / or research experience, desired
Required 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 ( 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 (, pandas, scikit-learn), with special emphasis in distributed computing frameworks (, 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 (, Apache Airflow).
Non-technical skills
- Excellent 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?
Get to know us better here and find out what life at Vodafone could be like for you : ;
From contactless payment to connecting emergency services, our technology delivers some truly exciting initiatives
not to mention the incredible connections we make on a global level every single day.
We rely on the brightest sparks to help us deliver new innovations. So, if you believe, like we do, that technology can help
us imagine, create and realise a more connected future, then we need you to help us achieve that goal!
Vodafone is committed to attracting, developing and retaining the best people by offering a flexible, motivating and inclusive workplace in which talent is truly recognised, developed and rewarded.
We believe that diversity plays an important role in the success of our business and we are committed to creating an inclusive work environment which respects, values, celebrates and makes the most of people’s individual differences.
We are proud to offer equal opportunities regardless of race, nationality, cultural origin, sex, age, marital status, sexual orientation, gender identity, disability and religious or political beliefs.
