Role Overview
We are looking for an experienced Data Scientist with strong hands-on expertise in Python, statistics, machine learning, and deep learning. The ideal candidate should have strong analytical and problem-solving skills and be able to develop and implement machine learning models to solve business problems.
Responsibilities
- Develop and implement machine learning models using Python.
- Apply statistics and probability concepts for data analysis and predictive modeling.
- Work with ML algorithms including clustering, decision trees, and other supervised/unsupervised techniques.
- Develop and implement deep learning models.
- Perform data cleaning, preprocessing, transformation, and data wrangling.
- Work with databases for data extraction, analysis, and processing.
- Utilize cloud and AI technologies where applicable.
- Analyze large datasets and identify meaningful patterns and insights.
- Communicate data science findings and solutions effectively to technical and business stakeholders.
Requirements
- Strong hands-on experience in Python.
- Proficiency in Statistics & Probability.
- Expertise in Machine Learning Algorithms.
- Knowledge of Clustering & Decision Tree-based Algorithms.
- Experience with Deep Learning.
- Proficiency in Data Wrangling.
- Database Skills.
- Strong analytical and problem-solving skills.
- Good communication skills.
Skills
- Python
- Machine Learning
- Deep Learning
- Statistics
- Data Wrangling