Data Scientist

The Role: 

The main responsibilities of the position include:

• Design, develop, and review machine learning models and advanced analytics solutions

• Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets

• Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality

• Collaborate with cross-functional teams including data engineers, software engineers, product owners, and business stakeholders

• Present insights, analysis results, and recommendations to both technical and non-technical audiences

• Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics

• Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value

Main requirements:

• University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field

• At least 3 years of experience in data science, machine learning, or advanced analytics

• Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries

• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly

• Strong knowledge and exposure to Machine Learning

• Knowledge of Recommendation Systems will be considered a plus

• Solid understanding of statistics and data mining techniques

• Experience working with relational and non-relational databases

• Strong analytical thinking, problem-solving ability, and attention to detail

• Excellent communication skills and the ability to work collaboratively in a team environment

Benefit from:

• Attractive remuneration package
• Private health insurance
• Corporate pension fund
• Intellectually stimulating work environment
• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’s Connect – Intro Chat with Talent Acquisition
• Deep Dive – First Interview with Your Future Team
• Bring It to Life – Role-Specific Take-Home Task
• Final Connection – Final Interview

XM publishes this vacancy on its own careers site. Applications go straight to XM: use the Apply button on this page.