Data Scientist

Summary

Join Xebia, a global leader in digital solutions, and contribute to the development of pricing and promotion recommendation tools and pricing elasticity modeling. Collaborate with data scientists, analysts, engineers, and product management to implement enhancements, develop new features, and translate business requirements into data science and analytics initiatives. Deliver on a wide spectrum of data-related tasks, from reporting and analytics to implementing and analyzing machine learning models. Develop high-quality, scalable, and automated code, ensuring seamless integration with production tools. Work with a team of experts in a supportive and collaborative environment. This role requires strong Python and SQL skills, experience with Spark, and proficiency in data analysis and software engineering best practices.

Requirements

• 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
• Strong Python skills required
• Strong SQL skills
• 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 the European Union region and a work permit are required

Responsibilities

• Work on and contribute to pricing and promotion recommendation tools
• Contribute to pricing elasticity modeling
• Work 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
• Deliver on a wide spectrum of data-related tasks, ranging from reporting and analytics requests to the implementation and analysis of machine learning models
• Develop good quality code that is easily scalable and automated
• Work alongside engineers to ensure seamless integration of your work with tools that are live in a production environment

Preferred Qualifications

• Docker and orchestration tools is a plus
• Experience using visualization tools like Tableau or Looker Studio