Data Scientist

Xebia

Portugal

Teletrabalho

EUR 40 000 - 65 000

Tempo integral

14 dias+

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Resumo da oferta

Join a leading company as a Data Scientist where you will collaborate with a dedicated team to implement enhancements and translate business requirements into actionable data science initiatives. This role requires expertise in machine learning, data analysis, and tools like Spark within a vibrant, cloud-focused environment.

Qualificações

  • 4+ years’ experience in developing data science and analytics solutions.
  • Proficiency with Git and GitHub.
  • Strong written and verbal English communication skills.

Responsabilidades

  • Working with data scientists, analysts, and engineers to develop new features.
  • Delivering data-related tasks, including machine learning model implementation.
  • Developing good quality code that is scalable and automated.

Conhecimentos

Machine Learning
Data Analysis
Spark
Git
Communication

Ferramentas

Visualization tools
Docker

Descrição da oferta de emprego

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We are Xebia – a place where experts grow. For nearly two decades now, we’ve been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We’re passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It’s the little details, like our attitude, dedication to knowledge, and the belief in people’s potential – emphasizing every team members development. Obviously, these things are not easy to present on paper – so, make sure to visit us to see it with your own eyes!

Now, we’ve talked a lot about ourselves – but we’d love to hear more about you.

You will be:

  • working with data scientists, analysts, engineers and product management to implement enhancements, develop new features and translate business requirements into our data science and analytics initiatives,
  • delivering on a wide spectrum of data-related tasks, ranging from reporting and analytics requests to the implementation and analysis of machine learning models,
  • developing good quality code that is easily scalable and automated,
  • working alongside engineers to ensure seamless integration of your work with tools that are live in a production environment.

Your profile:

  • ready to start up to 4 weeks,
  • 4+ years’ experience in developing data science and analytics solutions in a business setting,
  • experience with regression, linear/non-linear optimization, classification and segmentation problems,
  • proficiency working with Spark,
  • solid analytical skills, with the ability to derive conclusions and questions from data patterns,
  • proficiency with Git and GitHub,
  • familiarity with Google Cloud (GCP),
  • understanding of basic software engineering best practices to write reusable code that can easily be put into production,
  • team player, always willing to support your colleagues to the best of your ability,
  • proactive mindset towards problem-solving, a “can-do” attitude is expected,
  • strong written and verbal English communication skills and proficiency in communication with technical and non-technical stakeholders.

Work from EU and a work permit to work from EU are required.

Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies.

Nice to have:

  • Docker and orchestration tools is a plus,
  • experience using visualization tools like Tableau or Looker Studio.

Recruitment Process

CV review – HR call – Technical Interview (with live-coding elements) – Client Interview – Decision

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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