Data Scientist - Star 1531 Position 37011

at  Integrated Intel Solutions

Scope of Position
The Sponsor requires contractor support to augment its data analytics capabilities. The Sponsor’s team is responsible for integrating data from across the Sponsor’s office program areas such as personnel, physical and technical, cyber, and protective, as well as external sources, to identify threats, align resources with risk, and streamline processes. The Sponsor seeks to transform security operations and build new data-driven capabilities for the office. The team works with information in a wide array of formats and subject areas. It varies significantly in terms of quality and completeness. The Sponsor’s core responsibilities include identify and acquire new data sources, clean and interpret data, combine with other sources, analyze/visualize/model the data, and deliver products with actionable insights.

REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE

The Contractor shall have the following required skills, certifications and demonstrated experience:

• Demonstrated experience engaging with customers to understand and anticipate changing needs and requirements, anticipate substantive questions, and formulate qualitative and quantitative research designs to answer them.
• Demonstrated experience identifying and extracting data from multiple sources.
• Demonstrated experience applying qualitative and quantitative methods to the analysis of data.
• Demonstrated experience highlighting key issues and relationships from a base of information.
• Demonstrated experience relating and comparing data from different sources.
• Demonstrated experience drawing conclusions supported by data.
• Demonstrated experience distilling analyses into formats appropriate for both technical and non-technical audiences.
• Demonstrated experience describing the value and possible applications of analytical procedures to other data scientists, managers, and customers.
• Demonstrated experience using statistical concepts and methods with a background in quantitatively rigorous fields such as data science, mathematics, computer science, econometrics, and engineering.
• Demonstrated experience creating and applying advanced algorithms and models to solve analytic problems.
• Demonstrated experience managing and transforming structured and unstructured data.
• Demonstrated experience programming with Python or R core functionality.
• Demonstrated experience using applicable libraries and packages for data transformations, statistical analysis, visualization, and machine learning.
• Demonstrated experience interacting and transforming information from database tables using SQL.

HIGHLY DESIRED SKILLS AND DEMONSTRATED EXPERIENCE

Skills and demonstrated experiences that are highly desired but not required to perform the work include:

• Demonstrated experience building Tableau dashboards.
• Demonstrated experience with Databricks and Apache Spark.

Please refer the Job description for details