About the Role
The Data Science team at XM is seeking a skilled Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.
Responsibilities
•Design, develop, and maintain scalable data pipelines for data transformation and preparation.
•Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
•Ensure data quality and consistency across various sources.
•Deploy machine learning models and AI tools to production environments.
•Collaborate with data scientists to improve data models and support business intelligence tools.
•Build and maintain data warehousing solutions.
•Enforce data governance and security policies.
•Work with cross-functional teams to understand data requirements and provide technical solutions.
•Mentor junior data engineers and provide technical guidance.
Requirements
•MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
•4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn).
•Experience with AWS, Google Cloud, or Azure cloud services.
•Extensive experience with relational and non-relational databases.
•Proven experience with machine learning.
•Demonstrated experience in big data processing and analytics.
•Strong analytical thinking and problem-solving abilities.
•Effective communication skills to convey data-driven insights.
•Fluency in English Language.
Benefits
•Attractive remuneration package
•Private health insurance
•Corporate pension fund
•Intellectually stimulating work environment
•Continuous professional development and international training opportunities
