
Key Responsibilities:
- Lead and mentor a team of data scientists.
- Collaborate with business leaders to identify and prioritize data science opportunities.
- Lead development of predictive models to aid business decisions - entire life cycle including data exploration, feature engineering, model training, validation, deployment, and monitoring.
- Communicate recommendations & findings effectively to both technical and non-technical audiences.
- Ensure the quality, integrity, and governance of data assets and models, thorough reviews and adhering to best practices.
- Stay abreast of the latest advancements in data science & machine learning, including deep learning, reinforcement learning, & Gen AI and explore their potential applications.
- Work on POC's to evaluate and implement new technologies, algorithms, and methodologies within the data science team.
- Champion data-driven decision making across the organization and foster a culture of data literacy.
Required Skills:
- Strong proficiency in Python, SQL, and relevant machine learning libraries.
- Solid understanding of applied statistical concepts and of classification & regression models.
- Proven ability to lead and mentor a team of data scientists.
- Excellent communication, presentation, and interpersonal skills.
- Strong analytical and problem-solving skills.
- Experience working in Cloud platforms like GCP, AWS, etc.
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