Applied Data Scientist

We're seeking an experienced Applied Data Scientist to join our clients team. As an Applied Data Scientist, you will develop and deploy machine learning models to drive business growth and improve operational efficiency. You will work closely with cross-functional teams to identify business problems, develop predictive models, and integrate them into business operations.

Key Responsibilities:

1. Model Development: Develop and train machine learning models using various algorithms and techniques.
2. Model Deployment: Deploy models in production environments, ensuring scalability, reliability, and performance.
3. Model Maintenance: Monitor and maintain models, ensuring they remain accurate and effective.
4. Model Optimization: Continuously optimize and refine models to improve performance and adapt to changing business needs.
5. Collaboration: Work closely with data engineers, product managers, and other stakeholders to integrate models into business operations.
6. Technical Documentation: Document model development, deployment, and maintenance processes.

Requirements:

Technical Skills:

1. Programming: Proficiency in languages such as Python/Scala.
2. Machine Learning: Experience with machine learning algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
3. Model Deployment: Familiarity with model deployment tools and platforms (e.g., Docker, Kubernetes, AWS SageMaker).
4. Cloud Experience: Experience with cloud-based technologies (e.g., AWS, Azure, Google Cloud).