Data Scientist

Responsiblties:

• Meet with business leaders to understand business challenges and opportunities, and then frame these as data science problems.
• Identify data sources and evaluate suitability for use in analysis and modeling.
• Manage complex projects by demonstrating scope of data science projects by defining and planning steps.
• Extract data from enterprise systems and clean the data for analysis and modeling.
• Conduct analysis to derive insights from data.
• Develop visualizations of analytics and models for communicating findings.
• Build, test, and validate predictive models.
• Present insights to key business stakeholders.
• Identify opportunities to collect data from new sources or improve existing processes to allow for better analysis and modeling.
• Implements new or enhanced software designed to access and handle data more efficiently.
• Identifies creative solutions to challenging data science problems, determines project requirements and model requirements, and delivers a solution through the lifecycle to the production environment.

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.