Senior Data Scientist

Hello, let’s meet!

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 & 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.

Send us your resume to start the conversation and join the #Xebia.

About the project:

You will work on and contribute to Pricing and Promotion recommendation tools, and Pricing elasticity modeling.

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.

Requirements

Your profile:

• ready to start immediately,
• 8+ 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, especially with Pandas, common machine learning libraries and PySpark,
• strong SQL skills,
• solid analytical skills, with the ability to derive conclusions and questions from data patterns,
• proficiency with Git and GitHub,
• understanding of basic software engineering best practices to write reusable code that can easily be put into production,
• familiarity with Google Cloud (GCP), 
• 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.

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