Lead Data Scientist
1 week ago
Position Overview :
Our client is seeking an experienced and visionary Lead Data Scientist to head our Data Science and AI/ML practice. This role will be pivotal in driving the development and implementation of advanced analytics and machine learning solutions for our healthcare platform.
Preferred location is Pune or Bangalore.
Key Responsibilities :
Leadership & Strategy :
- Lead and mentor a team of data scientists, machine learning engineers, and analysts.
- Develop and execute the AI/ML strategy aligned with the companys goals.
- Collaborate with cross-functional teams to integrate AI/ML solutions into the healthcare platform.
Technical Expertise :
- Design and implement machine learning models and algorithms to solve complex healthcare problems.
- Ensure the scalability and robustness of AI/ML solutions.
- Stay updated with the latest advancements in AI/ML and apply them to improve product offerings.
Data Management :
- Oversee data collection, preprocessing, and analysis to ensure high-quality datasets.
- Implement best practices for data governance and security, especially concerning patient data.
Innovation & Research :
- Drive innovation by exploring new AI/ML techniques and technologies.
- Publish research findings and represent the company at industry conferences and events.
Qualifications :
Education :
- Ph.D. or Masters degree in Computer Science, Data Science, Machine Learning, or a related field.
Experience :
- 8+ years of experience in data science and machine learning, with at least 3 years in a leadership role.
- Overall experience is min 15+ years.
- Proven track record of successfully leading AI/ML projects in the healthcare domain.
Skills :
- Strong programming skills in Python, R, pyspark or similar languages.
- Expertise in machine learning frameworks such as TensorFlow, PyTorch etc.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Preferred :
- Experience with healthcare data standards and regulations (e.g., HIPAA, GDPR).
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
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