sugar.fit - Data Scientist - Predictive Modeling/Machine Learning

2 months ago

Bengaluru, India Ragus Health care private limited Full time

Key Responsibilities :

- Collaborate with cross-functional teams including clinicians, backend engineers, and product managers to identify key healthcare challenges and develop AI-driven solutions.

- Design, develop, and deploy predictive models, machine learning algorithms, and statistical techniques to extract insights from complex healthcare datasets.

Conduct exploratory data analysis to identify trends, patterns, and correlations within healthcare data.

- Implement data preprocessing techniques to ensure data quality, consistency, and reliability.

- Work on feature engineering and selection to optimize model performance and interpretability.

- Evaluate model performance using appropriate metrics and iterate on models to improve accuracy and effectiveness.

- Stay updated on the latest advancements in AI, machine learning, and healthcare informatics, and incorporate relevant techniques into our solutions.

- Communicate findings and insights effectively to both technical and non-technical stakeholders through visualizations, reports, and presentations.

- Ensure compliance with regulatory requirements and best practices for handling sensitive healthcare Proven experience (2+ years) working as a Data Scientist

- Strong proficiency in programming languages such as Python or R, and experience with libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.

- Expertise in machine learning techniques including supervised and unsupervised learning, deep learning, natural language processing, etc.

- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and experience deploying machine learning models in production environments.

- Excellent problem-solving skills, analytical thinking, and attention to detail.

Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, interdisciplinary team environment.

(ref:hirist.tech)

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