Data Scientist (Remote)

West 4th Strategy; United States; Remote; USD 135,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

401k

Job summary

West 4th Strategy is seeking an experienced Data Scientist for the Office of the Under Secretary of the Army for Personnel and Readiness. You will develop and automate Python scripts, build ML models, maintain ETL pipelines, and create data products and dashboards using Qlik/Tableau.

Responsibilities include translating requirements into data-driven solutions, producing reports, and documenting dashboard architecture with a focus on reliability and security.

Qualifications

• Bachelor's degree in information technology, computer science, mathematics, or a related field is required.
• 3-10 years of experience directly related to the outlined role responsibilities.
• 3 years’ experience as a Data Analyst or Data Scientist with hands-on experience with Databricks, Python, Spark, and Pandas.
• Proficiency in Qlik.
• Experience with building, training and deploying machine learning models.

Responsibilities

• Develop and automate Python scripts for collecting, cleaning and preprocessing data.
• Translate business requirements into data-driven solutions with cross-functional teams.
• Create reports and visualizations in Qlik Sense to communicate findings to stakeholders.
• Build and implement machine learning models and predictive analytics.
• Maintain historical data for data models and update ETL pipelines for new data sources.
• Create data products and document report usage, data refresh procedures, and dashboard architecture.

Skills

Databricks

Python

Spark

Pandas

Qlik

ML model training

AI tools

Education

Bachelor's degree

Tools

Tableau

Power BI

AWS S3

Job description

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.

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 implementmachine 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 andoverall 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 experiencewith technologies such asDatabricks, 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))

TRAVEL

• 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.