Job Description:

The Analyst for Data Scientist (ADS) will help the client build a sustainable data classification and reporting apparatus for a dispersed global team.

The Analyst will be responsible for conducting statistical analysis and optimization of financial and non-financial data available within the client’s security department.

The ADS will work with stakeholders across the globe and execute complex statistical analyses in support of operational programming including travel and intelligence.

The Analyst will prepare data visualizations, use algorithms, or create simulations to discover and classify patterns that help in business decision making and presenting findings to business audiences.

The focus for this role is in translating complex data into meaningful and digestible insights for a broad and diverse audience of clients and decision-makers across the organization.

The Analyst will support existing and bespoke programs through analysis of large disparate datasets such as log files of activity or aggregated lists of incidents.

A previous background in security, investigations, cyber security, anomaly detection (such as outliers) or similar is advantageous.

Responsibilities:

• Develop analysis-ready datasets by ingesting, staging, curating, mining, combining, cleansing, transforming, and analyzing data from a multitude of structured and unstructured disparate data sources
• Must be able to build a data science program from disparate analytical parts
• Attend meetings and provide the necessary support to ensure new projects are provide with the necessary data and/or insights to make informed and timely decisions
• Partner closely with team members to ensure the success of key initiatives related to data source management and development for network design, key performance indicator monitoring, and business integration
• Lead projects directly related to designing, testing, and deploying analytical solutions or initiatives
• Serve as data management point of contact for collaborative initiatives within the department
• Perform other duties and analysis as assigned by management