Data Scientist

Tech Stack

Responsibilities

• Interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
• Design and automate processes to facilitate the manipulation and analysis of data; manage and integrate data across dissimilar data sets; and analyze large-scale structured and unstructured data.
• Use frameworks such as Spark and Hadoop for large-scale data processing and perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI, and R Shiny.

Culture

Requirements