Data Scientist

Qualifications:

• Strong working knowledge of SQL for querying and managing data in relational databases.
• Hands-on experience with MongoDB or other NoSQL databases for working with unstructured data.
• Proficient in data visualization tools like Tableau, Power BI, or libraries such as Matplotlib and Seaborn.
• Solid understanding of statistical methods, hypothesis testing, and data analysis techniques.
• Strong communication skills with the ability to present technical findings to non-technical stakeholders.

Responsibilities:

• Collect, clean, and preprocess large datasets from various sources.
• Use SQL to query and extract data from relational databases for analysis.
• Work with NoSQL databases like MongoDB to manage and analyze unstructured data.
• Build and deploy machine learning models to predict trends, classify data, and provide data-driven recommendations.
• Perform exploratory data analysis (EDA) to identify key patterns, outliers, and trends in large datasets.
• Develop statistical models to support business objectives, including hypothesis testing and data visualization.
• Stay updated with the latest developments in machine learning, data science, and data engineering.
• Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.

Key Skills:

• Statistical Analysis and Mathematics. 
• Programming and Software Engineering.
• Data Manipulation and Visualization. 
• Machine Learning & Artificial Intelligence.
• Deep Learning.
• Natural Language Processing.
• Big Data. 
• Cloud computing.