The Role
Develop and automate Python-based ETL and data pipelines in Databricks; clean and preprocess manpower/personnel data; build, train, and deploy machine learning models; create Qlik/Tableau reports and dashboards; maintain historical data and troubleshoot ETL; produce documentation and data products; collaborate with cross-functional teams to translate requirements into data-driven solutions.
Summary Generated by Built In
Data Scientist
ROLE
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.
Apply today!
RESPONSIBILITIES
REQUIRED EDUCATION / CERTIFICATIONS
REQUIRED EXPERIENCE / SKILLS
PREFERRED EXPERIENCE / SKILLS
LOCATION
CLEARANCE
CLIENT
WORK HOURS
EMPLOYMENT CLASSIFICATION
COMPENSATION
West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.
Other Considerations: applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.
ROLE
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.
Apply today!
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
REQUIRED EDUCATION / CERTIFICATIONS
- Bachelor’s degree in information technology, computer science, mathematics, or a related field - required
REQUIRED EXPERIENCE / SKILLS
- 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
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 experience building end-to-end data pipelines in Databricks, with a proven ability to integrate existing legacy systems
LOCATION
- Remote – Eastern Standard Time zone – preferred but not required
CLEARANCE
- U.S. Citizenship - required
- Active Secret clearance - required
CLIENT
- Office of the Under Secretary of War for Personnel and Readiness (OUSW(P&R))
- No travel required
WORK HOURS
- 40 hours per week
- 8 hours per working day
EMPLOYMENT CLASSIFICATION
- Employment Classification Eligibility — W2
COMPENSATION
- Salary range: $135,000 – $150,000
- Benefits: Benefits package includes options for health, dental, and vision insurance coverage; 401k contribution options
West 4th Strategy is an Equal Opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, gender, sexual orientation, ancestry, national origin, age, marital status, mental disability, physical disability, medical condition, pregnancy, political affiliation, military or veteran status, or any other basis prohibited by federal or state law.
Other Considerations: applicants will be subject to a background investigation. Individual’s primary workstation is located in an office area. The noise level in this environment is low to moderate. Regularly required to sit for extended periods up to 80% of the time; frequently required to move about to access file cabinets and use office equipment such as PC, copier, fax, telephone, cell phone, etc. Occasionally required to reach overhead, bend, and lift objects of up to 10 lbs. Specific vision abilities required by this job include the use of computer monitor screens up to 80% of the time.
Skills Required
- Bachelor's degree in information technology, computer science, mathematics, or related field
- 3-10 years' experience directly related to the outlined role responsibilities
- Minimum 3 years' experience as a Data Analyst or Data Scientist with hands-on experience in Databricks, Python, Spark, and Pandas
- Proficiency in Qlik (Qlik Sense) and ability to create Qlik reports and visualizations
- Experience building, training, and deploying machine learning models and predictive analytics
- Experience developing and automating Python scripts for data collection, cleaning, and preprocessing, and maintaining ETL pipelines
- Comfortable using AI tools to improve product quality and delivery speed
- U.S. Citizenship
- Active Secret security clearance
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The Company
What We Do
West 4th Strategy provides rapid response technology services to civilian, defense, and homeland security customers. We build and mobilize dynamic teams of qualified technologists who embody competence, professionalism, and a commitment to results. We excel at moving fast to find the right people to get the job done. And the best part of our technology teams? They make the government’s mission their mission. Our teams work with a sense of purpose to power the government. West 4th Strategy. Our work defines us.








