About the role
The Role:
The main responsibilities of the position include:
- 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.
Main 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
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.
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