Apply📍 United States
🧭 Full-Time
🔍 Data science, AI-driven consumer insights
- Strong foundation in statistics, probability, and mathematics, with demonstrated proficiency in at least one of the following: TensorFlow, PyTorch, or JAX.
- Proficient in Python and familiar with R (or a willingness to learn).
- Proven experience in Machine Learning Ops, particularly in deploying and managing models in production environments.
- A scientific mindset with the ability to solve problems through research, experimental design, hypothesis testing, and analysis.
- Exceptional communication and collaboration skills, enabling you to explain complex concepts to non-technical audiences effectively.
- A commitment to staying updated on the latest trends in deep learning and machine learning.
- Build and deploy machine learning models to tackle complex business challenges, particularly in predictive analytics, segmentation, forecasting, and classification.
- Work alongside fellow Data Scientists and ML Engineers to develop robust data and model pipelines, ensuring seamless integration and efficiency.
- Assist in deploying models into production and monitor their performance while adhering to high governance standards.
- Identify and recommend new machine learning applications within the organization, conducting research to uncover novel use cases.
- Collaborate with the Product organization to create innovative products and solutions that meet business needs.
- Understand and adhere to ethical principles in machine learning, ensuring fairness and mitigating bias in model development.
PythonMachine LearningPyTorchData scienceTensorflow
Posted 4 days ago
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