* This role in contingent upon award*
Avalore, LLC is seeking an Exploitation Specialist / Data Scientist, Mid to support Department of War (DoW) customers in Springfield, VA.
The Exploitation Specialist / Data Scientst, Mid shall maintain data holdings, support compliance to data standards, and perform quantitative data analysis. Activities will involve transforming data, developing visuals to assist with data understanding, and conducting nalysis to make recommendations on data strategies to improve Machine Learning (ML) model development. Additional activities include:
- Enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity.
- Lead and conduct projects using advanced mathematical, statistical, and scientific
techniques and principles to examine complex missions and operational problems and create insights from data. - Support data analytics, data cleaning, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities.
- Apply statistical and analytic methods to support answering intelligence questions, mission requirements, and advanced data analysis.
- Build lightweight analytic tools to visualize data metrics and assess progress of data preprocessing efforts against Government goals
- Design methods and mechanisms to track, report, and monitor data in order to ensure pipeline movements are timely and support all necessary processes.
- Develop system to provide automated checks on data and processes to guarantee continuous pipeline support.
- Ingest and rectify non-standard data and data in formats that are new within the Data Management Platform (DMP), for integration and curation.
- Generate and manage data dictionaries to ensure information stays updated as data tables change
- Provide data analysis expertise for assistance in determining if imagery curation
techniques and strategies are effective in identifying images of value ( e.g., containing objects of interest or specific imagery characteristics)
Requirements- TS/SCI with CI Poly Eligibility
- Experience preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets.
- Experience with programming languages and tools such as Python, R, SQL, GIS, or Tableau.
- Experience developing visualizations to communicate analytical results and to assist technical and non-technical audiences in understanding information from large datasets.
Desired:
- Experience working in AI/ML-relevant fields related to imagery exploitation
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
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.
BenefitsEligibility 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 $125,000 - $170,000.
