Data Scientist

Roles & Responsibilities:
Developing and implementing machine learning models and algorithms to solve complex business problems
Conducting data analysis and modeling using statistical and data analysis tools
Collaborating with other teams to ensure the consistency and integrity of data
Providing guidance and mentorship to junior data science and modeling specialists
Presenting findings and recommendations to stakeholders

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 open to new ideas and be willing to learn and develop new skills.
Should also be able to work well under pressure and manage multiple tasks and priorities.

7-9 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