Lead Data Scientist

Role Description:

Roles & Responsibilities:

Skills Requirements:

• Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis.
• Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning.
• Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL.
• Understanding of big data technologies such as Hadoop, Spark, or Hive.
• Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.
• Must understand the company's long-term vision and align with it.
• Should be able to identify problems, generate effective solutions, and troubleshoot issues that may arise while working on complex projects.
• Must Display Adaptability to changing circumstances, new technology, and shifting priorities.

Qualifications

• 11-12 years of work experience in relevant field
• B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred