Data Scientist

Responsibilities

• Utilize advanced statistical and machine learning techniques to analyze and interpret data.
• Develop and implement algorithms to extract insights from large data sets.
• Build predictive models to forecast trends and outcomes.
• Collaborate with stakeholders to understand business objectives and provide data-driven recommendations.
• Communicate findings to non-technical audiences through visualizations and presentations.
• Stay current on industry trends and best practices in data science.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proficiency in Python for data analysis and modeling.
• Experience with SQL for data manipulation and querying.
• Knowledge of Pandas, NumPy, and Scikit-learn for data processing and machine learning.

Preferred Skills

• Experience with TensorFlow or PyTorch for deep learning.
• Understanding of MLOps for managing machine learning workflows.
• Familiarity with natural language processing (NLP) techniques.