Role Overview
As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.
What You Will Do
Own the end-to-end development of predictive and forecasting models, lead complex analyses, collaborate with Data Engineers and MLOps engineers, standardize analytical templates, and present data-driven insights to business partners.
Why It Might Be a Fit
Must-have skills include experience in data science, analytics, or applied ML, strong technical expertise in Python and SQL, and proven experience with Spark and Databricks. Nice-to-have skills include AI tooling proficiency, experience with deep learning, and familiarity with CI/CD concepts.
Requirements
- 4+ years of experience in data science, analytics, or applied ML
- Advanced English level
- Strong technical expertise in Python and SQL
- Proven experience with Spark and Databricks
- Clear understanding of linear regression, clustering techniques, and experimentation methods
- Strong storytelling and consultative skills
Benefits
- High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
To apply for this job please visit wizeline.ai.
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