Data Scientist (Exploitation Specialist)

Location: Springfield, Virginia, United States

Department: DoD - TS/SCI

Workplace: on_site

Employment Type: full

Description

* This role in contingent upon award*

We are seeking a talented and motivated Data Scientist to perform advanced data analysis using statistical and quantitative methods, develop impactful visualizations to support decision-making, and create software solutions to monitor and manage data pipeline tasks. This role requires a strong technical background in data manipulation, AI/ML technologies, and database systems, paired with the ability to generate actionable insights from complex datasets.

Key Responsibilities:

• Conduct data analysis using statistical and quantitative methods to extract insights and support data-driven decision-making.
• Develop visualizations to communicate analytical results effectively to diverse stakeholders.
• Design and implement software solutions to monitor and manage data pipeline tasks.
• Work with diverse file types, including geospatial formats, JSON, XML, and others, to process and analyze data.
• Perform data manipulation, extract-transform-load (ETL) processes, and utilize database technologies (SQL and NoSQL).
• Leverage AI/ML technologies to drive innovation and solve complex data challenges.

Requirements

• TS/SCI with CI Poly Eligibility
• Experience working with AI/ML technologies and data systems.
• Demonstrated expertise in working with multiple file types, including geospatial formats, JSON, XML, etc.
• Proficiency in quantitative analysis, visualization development, and processing complex data to produce actionable insights.
• Hands-on experience with data manipulation and ETL procedures.
• Working knowledge of database technologies, including SQL and NoSQL.
• Development experience in Python and other programming languages for data cleaning and manipulation.

Desired:

• Experience applying Natural Language Processing (NLP) algorithms to extract data from documents.
• Familiarity with enterprise Computer Vision applications, automated data collection, reporting, and data standardization best practices.
• Expertise in math, statistics, and quantitative analysis, with experience in techniques such as classification, regression, clustering, data reduction, and causal modeling.

Work Environment: 

• Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment). 

• Ability to sit at a computer terminal for an extended period of time. 

Physical Demands: 

• While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear. 

• Employee is often required to sit and use their hands and fingers to operate a computer. 

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

Travel: 

• Up to 10%/ Occasional travel. 

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai. 

Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

Benefits

Eligibility requirements apply.

• Employer Contributions to Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA) with a generous matching program
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Short Term & Long Term Disability
• Training & Development
• Employee Assistance Program
• Salary at Avalore is determined by various factors, including but not limited to location, the individual's particular combinaition of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements.
• Salary estimates for this job range from $175,000 - $210,000.