Empowering our Clients with People-Driven Digital Innovation Across Europe
We are a Group managing digital IT services and solutions, driven by people, innovation, agility, and deep industry insight. We are working with the largest private and public institutions to deliver IT services and solutions.
Being an entrepreneurial digital services group with a Human-Sized Tech Company, we are built by passionate experts and led by seasoned leaders in IT and digital transformation.
Context
We are seeking a highly motivated and analytical Data Scientist to join our team.
o Collaborate with business and technical stakeholders to imagine innovative solutions and identify cross-project synergies.
o Analyze the quality and availability of data sources relevant to the project.
o Explore data and test algorithms to assess project feasibility and potential value.
o Actively participate in project development alongside product leaders, business experts, developers, DevOps, Big Data architects, UX designers, Agile teams, data engineers, and fellow data scientists.
o Deeply analyze and understand the business problem at hand.
o Define an analytics strategy: prioritize ideas, define evaluation metrics, select tools and environments, and estimate business value.
o Implement complex data engineering and feature engineering workflows.
o Develop accurate and efficient machine learning models.
o Explore breakthrough solutions using deep learning.
o Design and develop components to orchestrate machine learning systems in production following MLOps best practices (data validation, preprocessing, training, model analysis, deployment, monitoring, etc.).
What we are looking for :
o Previous relevant experience as Data Scientist.
o Strong ability to understand and interpret diverse business challenges (marketing, engineering, quality, after-sales, etc.).
o Skilled at simplifying and presenting complex ideas and results.
o Excellent command of data processing and visualization libraries.
o Deep knowledge of machine learning algorithms (clustering, classification, regression, anomaly detection, model optimization, image and natural language processing using deep learning).
o Proficient in at least the following programming languages: Python (required), SQL (required); experience with R, Scala, or Java is a plus.
o Familiarity with major ML frameworks: Scikit-learn, TensorFlow/Keras, TFx, PyTorch (a plus).
o Experience with Spark is a plus.
o Experience in productionizing machine learning systems.
Familiarity with Docker, orchestration tools like Kubeflow, Airflow, or Kubernetes, and CI/CD tools such as Git, GitLab CI/CD (a plus).
o Nice to have: understanding of cloud development platforms, especially Google Cloud Platform (e.g., Storage, BigQuery, Dataproc, Dataflow, AI Platform).
o Ability to develop well-structured, production-grade code.
o Experience with large-scale data processing and distributed computing.
We offer
- Competitive salary and the opportunity to have a meaningful job where you can make a difference
- The chance to continuously evolve as a professional
- Medical insurance & Meal tickets. Variety of training opportunities
Join Us at EASYDO
With a team of 250 dedicated professionals, we combine technological excellence with a people-first culture. We believe in empowering talent, nurturing careers, and building long-term trust with our clients and our teams.
📩 Contact our Talent Team by email to [email protected]
Or visit our careers portal: www.easydo.co/career!
