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Sopra Steria

IT consulting, digital services, and transformation

Senior Data Scientist / Machine Learning Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeGroningen, Netherlands

About the Job

Requirements

  • At least 7 years of experience.
  • Knowledge and experience with Python, SQL, a cloud platform such as Azure, AWS, or GCP, Git, Docker, a specialization such as tabular machine learning, computer vision, natural language processing, or deep learning, coaching, project management, responsible artificial intelligence, and MLOps or DevOps.

Responsibilities

  • Extract valuable insights from large datasets using programming languages and visualization tools.
  • Communicate data insights to stakeholders so they can take appropriate action.
  • Build predictive models, perform hypothesis tests, and conduct exploratory data analysis.
  • Convert raw data into usable insights and develop scalable solutions.
  • Design and optimize data infrastructure, automate processes, and ensure seamless data delivery.
  • Develop microservices to make data lakes more accessible and useful.
  • Develop and implement data solutions from concept through implementation to improve the scalability and usability of data and support clients' strategic objectives.

Desired Qualifications

  • Knowledge or experience with business intelligence, R, Databricks, mathematical optimization, big data or distributed computing, ETL or ELT, and presentation skills.

About the Company

Sopra Steria

IT consulting, digital services, and transformation

Sopra Steria provides consulting, digital services and solutions to help large organizations transform their business through technology. Its offerings cover strategy, systems integration, cloud, cyber security, software development, and managed services, designed to be delivered end to end—from assessing needs and designing a plan to implementing and operating IT systems. The company combines deep knowledge of many industries with a collaborative approach to tailor projects to each client and to deliver measurable, sustainable improvements in performance. Differentiators include its European scale (about 51,000 employees across roughly 30 countries), broad scope—from strategy to operation—and emphasis on practical outcomes that help clients stay competitive. The group’s goal is to put digital to work for its clients in a way that creates a positive, more productive future for all stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1968

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