Lead Data Scientist - Artificial Intelligence/Machine Learning (20-30 yrs)

Job Description :

Key Responsibilities :

1. 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 company's goals.

- Collaborate with cross-functional teams to integrate AI/ML solutions into the healthcare platform.

2. 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.

3. 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.

4. 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 :

1. Education :

- Ph.D. or Master's degree in Computer Science, Data Science, Machine Learning, or a related field

- BE/BTech can be considered, Masters preferred.

2. 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.

- Has to be currently a Director Architect/ Real Practioner

- Hands on Coding/ Technical candidate

- Need to Lead the practice of Datascience/AI, bulding the platform in Data Analytics and AI

- Candidate will be heading the practice, he will be Sr Most guy

- Run the team, worked on Data Analytics, development of AI cases and deliver the used cases

- Current team size is 6 people, wants to build the team up to 20+

3. 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.

4. Preferred :

- Experience with healthcare data standards and regulations (e.g., HIPAA, GDPR).

- Familiarity with cloud platforms like AWS, Azure, or Google Cloud.