Specialist Data Scientist

Vodafone Group Plc.
Municipality of Madrid, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Municipality of Madrid, Spain

Tech stack

API
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Data analysis
Azure
Big Data
Cloud Computing
Information Engineering
ETL
Data Visualization
Software Debugging
Distributed Systems
Statistical Hypothesis Testing
Python
Machine Learning
Node.js
Object-Oriented Software Development
Data Streaming
Supervised Learning
Data Storage Technologies
Spark
GIT
Pandas
PySpark
Scikit Learn
Information Technology
Machine Learning Operations
Data Pipelines
Unsupervised Learning

Job description

For the role of Sara Scientist we are looking for candidates with a broad range of skills. The responsibilities include:

  • 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.

Requirements

We are looking for a Data Scientist to join our Vodafone Business 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!, * 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 Nice to have:

  • 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 th 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).

About the company

Would you like to be part of our new adventure? Vodafone Group launched its new technological HUB in 2021, an international center of excellence dedicated to research and development of technical solutions, such as Secure Networks, 5G and 6G development, Open RAN, IoT, MPN & MEC and UCC for Vodafone Business, platforms and enterprise solutions. This vacancy is part of VOIS Spain, legal entity part of Vodafone Group. Come and join us to create the future together!

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