Requirement:

• Educational Qualification:
• Typically a Master's or Bachelor's degree in a relevant field (e.g., Computer Science, Statistics, Data Science, etc.).
• Experience:
• 5-7 years of hands-on experience in data science, machine learning, and analytics.
• Technical Skills:
• Proficiency in programming languages commonly used in data science (e.g., Python, R, etc.).
• Experience with machine learning frameworks and libraries.
• Strong understanding of data manipulation and analysis tools.
• Domain Knowledge:
• Knowledge and understanding of the industry or domain relevant to the position (e.g., healthcare, finance, etc.).
• Leadership and Communication Skills:
• Demonstrated leadership skills to guide and mentor a team of data scientists.
• Strong communication skills to effectively convey complex technical concepts to both technical and non-technical stakeholders.

Additional Requirements (Generic):



• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Proven experience in developing and deploying machine learning models.
• Ability to collaborate with cross-functional teams and business stakeholders.
• Strong problem-solving skills and a proactive approach to addressing challenges.