Data Scientist

• Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.
• Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code.
• Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.
• Use your robust problem-solving skills to develop data-driven solutions, analyze complex datasets, and derive actionable insights that lead to impactful outcomes.

Desired Skills and Experience:

• A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role
• Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.
• Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL.
• Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.