Data Scientist II

SOSi; Washington (District of Columbia); Hybrid; USD 80,000 - 165,000; Full time

Benefits offered by this job

Occasional remote work

Job summary

SOSi is seeking a Data Scientist to provide data analysis services, including data graphics and dashboards, to identify challenges and opportunities for Sponsor customers. You will transform unstructured data into actionable insights using coding skills and Tableau to support decision-making related to production, resources, and personnel.

Responsibilities include preprocessing data, analyzing large datasets, building and improving AI/ML models, creating visualizations, and delivering ad-hoc

Qualifications

• Experience with data analysis, modeling, and visualization.
• Experience with time-series data analysis.

Responsibilities

• Assess the efficiency and accuracy of new data sources.
• Preprocess structured and unstructured Sponsor data.
• Analyze large amounts of raw data to provide insights.
• Create, modify, and improve statistical/AI models.
• Document methods and findings using Sponsor formats and templates.
• Create data visualizations or interactives; deliver presentations or briefings.
• Provide technical education to staff on an ad-hoc basis.
• Apply data-driven analytic techniques to sponsor intelligence problems.

Skills

Data analysis

Time-series analysis

Python or R

Tableau

Git

Cloud services

APIs

High-performance computing

SQL databases

Tools

DBeaver

PostgreSQL

MySQL

NoSQL

MongoDB

Job description

• Compensation: USD 79679 - USD 165488 - yearly

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

*Position is contingent upon contract award*

SOSi is seeking a Data Scientist. The Data Scientist will provide data analysis services, including data graphics and dashboards, to help identify challenges and opportunities for the Sponsor's customers. In this role the Data Scientist will leverage coding skills and proficiency in Tableau to transform unstructured data into actionable insights, supporting customer decision-making related to production, resources and personnel.

• Assessthe efficiency and accuracy of new data sources.
• Preprocessor cleanstructured and unstructured Sponsor data.
• Analyzelarge amounts of raw data to provide insights.
• Create, modify, and improvestatistical and/or Al/ML models.
• Documentand communicatemethods and findings using Sponsor's formats and templates, which could include authoring analytic publications in collaboration with Sponsor, producing ad-hoc reports,
• Createdata visualizations or interactives, developing applications and user Interfaces, delivering slideshow presentations or briefings, or documenting methods in Github.
• Providetechnical education to staff on an ad-hoc basis.
• Applyexpertise in data-driven analytic techniques to identify and research the use of new quantitative and qualitative methods to augment Sponsor's existing methodological approaches to intelligence problems and communicate findings to wider audiences.
• Briefconsumers -on applications of data-driven analysis and analytic methods to specific national security problems of concern to the consumer.
• Respondto COTR or GTM approved ad-hoc requests for tailor-made complex data-driven analysis, including preparing cables; memoranda, email, and graphics for Sponsor consumers.

Qualifications

• Demonstrated professional experience with the following required tools, systems, services, and data types:
  • DBeaver, PostGres SQL, MySQL, NoSQL, Mango and SQL to include using common table expressions, set operations, aggregated functions, and nested subqueries.
  • Python or R, as well as a wide range of data analysis, data processing, statistical modeling, Al/ML, and visualization programming libraries.
  • Working with time-series data in performing time-series analysis using Sponsor's data or data from external sources.
  • Version control systems, such as Git.
  • Tableau to create and customize customer-facing graphics.
  • Cloud services from major providers, working with APls, and leveraging high-performance computing resources.

Preferred Qualifications

• Using Splunk, including automated processes in the Sponsor’s environment.
• Using Sponsor’s enterprise services, security controls, and data management practices.

Additional Information

• Office setting with a combination of desk work and meetings.
• Occasional remote work or telecommuting opportunities.
• Potential travel for conferences, training, or meetings with stakeholders.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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