Data Scientist(Remote)

West 4th Strategy•Washington, DC

8d•$135,000 - $150,000•Remote

About The Position

We need an experienced Data Scientist at the Office of the Under Secretary of the Army for Personnel and Readiness (OUSW(P&R)). The office oversees manpower and personnel data systems in support of Army-wide workforce planning and readiness initiatives. In this role, you will develop and automate Python scripts for data collection, cleaning, and preprocessing; build and implement machine learning models and predictive analytics; maintain and update ETL pipelines for manpower and personnel data sources; create data products and Qlik/Tableau reports and dashboards; and produce documentation covering report usage, data refresh procedures, and dashboard architecture. This is a full-time opportunity. We can offer a competitive salary and a comprehensive benefits package.

Requirements

3-10 years’ experience directly related to the outlined role responsibilities
3 years’ experience as a Data Analyst or Data Scientist, with demonstrated hands-on experience with technologies such as Databricks, Python, Spark, and Pandas
Proficiency in Qlik
Experience with building, training and deploying machine learning
Detail-oriented mindset with a commitment to delivering high-quality results with little direction/oversight
Comfortable using AI tools to improve product quality and delivery speed
U.S. Citizenship - required
Active Secret clearance - required

Nice To Haves

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 experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems

Responsibilities

Develop and automate Python scripts for collecting, cleaning and preprocessing data.
Work with cross functional teams to translate business requirements into data-driven solutions.
Create reports and visualizations in Qlik sense to communicate findings and insights effectively, matching needs of stakeholders and users.
Build and implement machine learning models and/or predictive analytics.
Maintenance of Historical Data for Faces to Spaces Data Model
Troubleshooting issues with ETL to a quick resolution
Updating ETL to reflect new data elements for new and existing manpower and personnel data sources
Data ingestion and transformation
Monthly updates / automation of new data ingestion and visualization
Create Data Products
Interpret data requirements and develop Qlik/Tableau Reports
Refactoring/repointing data ingest of dashboards from databases
Create documentation on how to use reports, how to refresh the data and overall dashboard architecture