Data Scientist

Responsiblties:

• Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes.
• Create various ML-based tools or processes, such as recommendation engines or automated lead scoring systems.
• Perform statistical analysis, applies data mining techniques, and builds high quality prediction systems.

Requirment:

• Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
• Prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.
• Maintain and extend existing software infrastructure to support machine learning and automation.
• Possess proven work experience or formal training as a Software Engineer, Software Developer, or similar role.
• Provide expertise in Python software development:  use GIT for software version control,  expertise in Agile development methodologies, (3) expertise in full software development life cycle.

Key Skills:

• Statistical analysis and computing.
• Machine Learning.
• Deep Learning.
• Processing large data sets.
• Data Visualization.
• Data Wrangling.
• Mathematics.

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