Senior Data Scientist

Summary

Join Xebia, a global leader in digital solutions, and contribute to cutting-edge pricing and promotion recommendation tools. You will collaborate with data scientists, analysts, and engineers to implement enhancements, develop new features, and translate business requirements into data science initiatives. This role demands 8+ years of experience in developing data science and analytics solutions, strong Python and SQL skills, and proficiency with Git and GCP. You will be responsible for delivering data-related tasks, developing scalable code, and ensuring seamless integration with production environments. Xebia offers a collaborative environment focused on professional development and emphasizes a 'can-do' attitude. The ideal candidate is a team player with excellent communication skills and a proactive problem-solving approach.

Requirements

• Be ready to start immediately
• Have 8+ years' experience in developing data science and analytics solutions in a business setting
• Have experience with regression, linear/non-linear optimization, classification and segmentation problems
• Possess strong Python skills, especially with Pandas, common machine learning libraries and PySpark
• Possess strong SQL skills
• Have solid analytical skills, with the ability to derive conclusions and questions from data patterns
• Be proficient with Git and GitHub
• Understand basic software engineering best practices to write reusable code that can easily be put into production
• Have familiarity with Google Cloud (GCP)
• Be a team player, always willing to support your colleagues to the best of your ability
• Have a proactive mindset towards problem-solving; a “can-do” attitude is expected
• Possess strong written and verbal English communication skills and proficiency in communication with technical and non-technical stakeholders
• Work from the European Union region and have a work permit

Responsibilities

• Work on and contribute to Pricing and Promotion recommendation tools, and 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

• Have experience with Docker and orchestration tools
• Have experience using visualization tools like Tableau or Looker Studio