Data Scientist (Exploitation Specialist)

Avalore, LLC

Springfield (VA)

On-site

USD 175,000 - 210,000

Full time

9 days ago

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Benefits offered by this job

Health care plan (Medical, Dental &amp
Retirement plan (401k)
Life Insurance
Paid Time Off
Disability - Short/Long Term
Training & Development
Employee Assistance Program

Job summary

Avalore, LLC is seeking a Data Scientist in Virginia to perform advanced data analysis, build impactful visualizations, and create software to monitor data pipelines. The role requires expertise in data manipulation, AI/ML technologies, and databases, with the ability to deliver actionable insights from complex datasets.

Responsibilities include ETL processing, working with geospatial data and formats like JSON/XML, and applying NLP or CV-related techniques as needed.

Qualifications

  • Strong background in data analysis using statistical methods.
  • Experience with AI/ML technologies and data systems.
  • Proficiency in Python and data manipulation/ETL processes.
  • Ability to develop visualizations and processing for diverse file types (JSON, XML, geospatial).

Responsibilities

  • Conduct data analysis using statistical and quantitative methods to extract insights.
  • Develop visualizations to communicate results to stakeholders.
  • Design and implement software to monitor and manage data pipelines.
  • Process diverse file formats (geospatial, JSON, XML) for analysis.
  • Perform ETL and leverage SQL and NoSQL databases.
  • Apply AI/ML techniques to solve complex data problems.

Skills

Data analysis
Python
AI/ML
Visualization
ETL
SQL
NoSQL
Geospatial data
JSON/XML processing
Data manipulation

Tools

Python

Job 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.
  • 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,phoneand 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 employeeis required tosit, stand, talk, andhear.
  • Employee isoften required to sit and use their hands and fingers tooperatea computer.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Travel:
  • Up to 10%/ Occasionaltravel.

Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability.

Avalore is an Equal Opportunity Employer - Wenot discriminatebased on age, race, national or ethnic origin, gender,veteransstatus, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.

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.
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