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redshift sql s3 python pytorch๐ Description
- Lead the Data Science team (2 DS, 2 ML Engineers) to deliver ML solutions.
- Own credit risk and fraud detection models; ensure reliability.
- Drive MLOps adoption and best practices.
- Expand DS roadmap with high-impact use cases; collaborate with Eng.
- Foster customer-centric, data-driven decision making.
- Represent DS/ML in key initiatives across the company.
๐ฏ Requirements
- Proven track record managing Data Scientists and/or ML Engineers.
- Strong background in ML for predictive modeling, fraud, or credit risk (eCommerce preferred).
- Proficient in Python and SQL; experience with cloud ML infra (SageMaker, Azure ML).
- Able to drive technical discussions and remove roadblocks.
- Thrives in scale-up environments; delivers measurable value.
- Excellent English communication with technical and commercial stakeholders.
๐ Benefits
- Hybrid model: 3 days/week in Berlin HQ.
- 15 days per year to work abroad.
- Mental health support with Nilo.health.
- 1 paid volunteering day per month.
- Annual learning budget of 750โฌ.
- Exclusive Grover Tech discount for you and loved ones.
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