Simpson Booth is supporting a major IT business consultancy with the recruitment of a Data Scientist Specialist for a contract at their end customer’s office, based in Alicante, Spain.
As a Data Scientist, you will use Machine Learning approaches with engineering skills to develop Data Science. You will contribute to the design and development of Data Science solutions for strategic business cases with support of internal and external Tech partners.
You will be:
Responsible for the design and implementation of big data solutions based on new technologies and platforms for complex business problems.
Define the standards and policies for the management of this data, and its dissemination to different actors
Build and deploy scalable machine learning pipelines using containerization and orchestration technologies like Docker and Kubernetes
Extraction and processing pipelines (including real-time or stream-processing platforms)
To achieve this, you will be closely working with domain experts, platform architects, IT specialists, software developers, data scientists from various parts of the organization
Education & Experience Required
At least University Bachelor’s qualification in Software Engineering, Computer Science, Data Science or equivalent and proven Machine Learning Operations (MLOps) competence.
Strong programming skills in one or more programming languages like Python, Java, or Scala
Experience working effectively with engineering teams
Ability to deploy models on different infrastructures (Azure, Google Cloud, Docker, Kubernetes, …)
Ability to speak, write and read fluently in English
Knowledge of cloud-native architecture and infrastructure, including the SDLC and specifically the process of building and deploying big data solutions.
Experience on productizing machine learning models on Cloud platforms like AWS, Azure, or GCP
Experience with microservice architectural patterns
Good communicator, who can connect across disciplines
Team player, who exhibits ownership and is pro-active and customer-oriented
Quality-driven, can-do, supportive mentality
Eager to guide others, for instance data scientists for productization of machine learning models
We offer you :
A competitive offer with an attractive range of benefits;
Personal growth: if you grow, we grow therefore we are keen to support your development by providing you a dynamic work environment and training opportunities;
A supporting environment: in our diverse team we can always count on each other, and new ideas are valued ahead of convention;
A long-term collaboration: we prefer to commit to our people.