Padmi

Sr. Manager- Data Science

MumbaiPosted 2 months ago
Data Science And StatisticsSeniorFull Time; Regular
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As a Manager / Sr. Manager Data & Science, your role will involve leading and mentoring a team of data scientists. You will also have the opportunity to contribute hands-on to advanced analytics, machine learning, and NLP/LLM-based solutions. Your primary responsibility will be working with large-scale structured and unstructured healthcare datasets to derive meaningful insights and support product and research initiatives. Key Responsibilities: - Lead and mentor a team of data scientists - Contribute hands-on to advanced analytics, machine learning, and NLP/LLM-based solutions - Work with large-scale structured and unstructured healthcare datasets - Derive meaningful insights to support product and research initiatives Qualifications Required: - Proven experience in data science, analytics, or a related field - Strong knowledge of machine learning algorithms and techniques - Experience with large-scale structured and unstructured datasets - Excellent communication and leadership skills (Note: No additional details about the company were provided in the job description) As a Manager / Sr. Manager Data & Science, your role will involve leading and mentoring a team of data scientists. You will also have the opportunity to contribute hands-on to advanced analytics, machine learning, and NLP/LLM-based solutions. Your primary responsibility will be working with large-scale structured and unstructured healthcare datasets to derive meaningful insights and support product and research initiatives. Key Responsibilities: - Lead and mentor a team of data scientists - Contribute hands-on to advanced analytics, machine learning, and NLP/LLM-based solutions - Work with large-scale structured and unstructured healthcare datasets - Derive meaningful insights to support product and research initiatives Qualifications Required: - Proven experience in data science, analytics, or a related field - Strong knowledge of machine learning algorithms and techniques - Experience with large-scale structured and unstructured datasets - Excellent communication and leadership skills (Note: No additional details about the company were provided in the job description)

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