Responsibilities
- Define the project scope and set success criteria together with the Product team.
- Explore data, formulate and present POCs (Proof of Concepts).
- Develop, measure, and deploy models to production, monitor them, and understand the customer experience and the gaps.
- Contribute to our ML infrastructure by designing and implementing scalable machine learning pipelines with the team’s MLEs (Machine Learning Engineers).
- Continuously explore new technologies and tools that can be harnessed for our mission to improve the customer experience.
Minimum Qualifications
- M.Sc. or Ph.D. degree in Computer Science, Statistics, Mathematics, Physics, or a related field
- 5+ years of hands-on experience in developing and delivering ML components to production at scale
- Deep understanding of machine learning theory and algorithms - supervised, unsupervised, generative AI, RAG architecture
- Ability to break a business problem into ML components
- Production-grade development skills in Python and experience with machine learning libraries (Scikit-learn, etc.).
- A good command of software engineering best practices
Sr. Python Data Scientist
Are you an experienced Sr Data Scientist – Forecasting and ML Ops? If so, let’s talk!. Our client is actively seeking a talented Sr Data Scientist – Forecasting and ML Ops located in Pleasanton, CA or Durham NC. We are looking for a passionate Data Scientist to join our team and help ...
Sr. Data Scientist
Explore data, formulate and present POCs (Proof of Concepts). ...
Sr Data Scientist
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