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Job Description

Remote role for an experienced Data Scientist supporting OUSW(P&R) with Python-based automation, predictive analytics, ETL maintenance, and Qlik/Tableau reporting.

Responsibilities

  • Design and automate Python workflows for collecting, cleaning, and preprocessing data.
  • Partner with cross-functional teams to translate business needs into data-driven solutions.
  • Create and maintain Qlik Sense reports and visualizations to communicate insights for stakeholders and end users.
  • Build and implement machine learning models and/or predictive analytics solutions.
  • Maintain historical data for the Faces to Spaces Data Model.
  • Troubleshoot ETL issues and drive timely resolution.
  • Update ETL processes to incorporate new data elements for new and existing manpower and personnel data sources.
  • Handle data ingestion and transformation, including monthly updates and automation of new ingestion plus visualization refreshes.
  • Create data products and interpret data requirements to deliver Qlik/Tableau outputs.
  • Refactor and repoint dashboard data ingest from databases.
  • Produce documentation covering report usage, data refresh steps, and overall dashboard architecture.

Requirements

  • Bachelor’s degree in information technology, computer science, mathematics, or a related field (required).
  • 3–10 years of experience directly related to the listed responsibilities.
  • 3 years of Data Analyst or Data Scientist experience with hands-on use of Databricks, Python, Spark, and Pandas.
  • Proficiency in Qlik.
  • Experience building, training, and deploying machine learning.
  • Detail-oriented approach with a commitment to high-quality results with limited direction or oversight.
  • Comfort using AI tools to improve product quality and delivery speed.
  • U.S. Citizenship (required) and Active Secret clearance (required).

Preferred Experience / Skills

  • Experience with Microsoft Power BI.
  • Experience with cloud data structures such as AWS S3, delta, and external tables.
  • Experience with Machine Learning models and/or Generative AI.
  • Demonstrated ability to build end-to-end data pipelines in Databricks and integrate legacy systems.

Tech Stack

  • Python, Databricks, Spark, Pandas
  • Qlik, Qlik Sense, Tableau, Power BI
  • AWS S3

Employment & Logistics

  • Location: Remote (remote); Eastern Standard Time preferred but not required.
  • Classification: W2 full-time.
  • Work hours: 40 hours per week; 8 hours per working day.
  • Travel: No travel required.
  • Client: Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R)).
  • Background investigation: Applicants will be subject to a background investigation.

Compensation & Benefits

  • Salary: USD 135,000 to 150,000 per year.
  • Health coverage: Options for health, dental, and vision insurance.
  • Retirement: 401k contribution options.

Work Environment / Physical Requirements

  • Primary workstation located in an office area.
  • Noise level: low to moderate.
  • Sit for extended periods up to 80% of the time.
  • Frequently move about to access file cabinets and use office equipment (PC, copier, fax, telephone, cell phone, etc.).
  • Occasionally reach overhead, bend, and lift objects up to 10 lbs.
  • Vision abilities required: use computer monitor screens up to 80% of the time.

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