Data Scientist II

Wilcore Technologies, Inc.; Stafford (VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Wilcore Technologies, Inc. seeks a Data Scientist to join a Department of Veterans Affairs program on a contingent basis. The role supports VA program objectives with data-driven insights and advanced analytics.

Candidate will analyze large datasets, build models, and communicate findings to stakeholders while maintaining data quality and security. U.S. citizenship and ability to obtain Public Trust clearance required.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience in data analysis, modeling, and visualization.
• Proficiency in Python, R, or SQL.
• Experience with Tableau, Power BI, SAS.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and ability to present insights clearly.
• Ability to work independently and collaboratively in fast-paced environments.
• Knowledge of healthcare or government programs is a plus.

Responsibilities

• Analyze large and complex datasets to extract actionable insights relevant to VA program objectives
• Develop and implement statistical models, algorithms, and data processing techniques to support program goals
• Collaborate with cross-functional teams to identify data needs and translate business requirements into technical solutions
• Prepare comprehensive reports, visualizations, and presentations to communicate findings to stakeholders
• Ensure data quality, integrity, and security in accordance with VA and organizational standards
• Stay current with industry best practices and emerging trends in data science and analytics

Skills

Python

R

SQL

Education

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field

Tools

Tableau

Power BI

SAS

Job description

Data Scientist – Supporting Department of Veterans Affairs Program (Contingent Role)

We are seeking a skilled and motivated Data Scientist to join our team in supporting a Department of Veterans Affairs (VA) program. This is a contingent position, with employment contingent upon the successful award of the contract. The ideal candidate will bring strong analytical skills, a passion for data‑driven decision‑making, and a commitment to supporting veteran services through innovative data solutions.

Key Responsibilities

• Analyze large and complex datasets to extract actionable insights relevant to VA program objectives
• Develop and implement statistical models, algorithms, and data processing techniques to support program goals
• Collaborate with cross‑functional teams to identify data needs and translate business requirements into technical solutions
• Prepare comprehensive reports, visualizations, and presentations to communicate findings to stakeholders
• Ensure data quality, integrity, and security in accordance with VA and organizational standards
• Stay current with industry best practices and emerging trends in data science and analytics

This position offers an opportunity to contribute to meaningful work supporting veterans and their families. We value a collaborative, innovative culture that encourages professional growth and development. Please note that this role is contingent upon contract award, and candidates will be considered once the contract is secured.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Proven experience in data analysis, modeling, and visualization
• Proficiency in programming languages such as Python, R, or SQL
• Experience with data management tools and platforms (e.g., Tableau, Power BI, SAS)
• Strong analytical thinking and problem‑solving skills
• Excellent communication skills, with the ability to present complex data insights clearly
• Ability to work independently and collaboratively in a fast‑paced environment
• Knowledge of healthcare or government programs is a plus

Must be a U.S. Citizen who is able to obtain and maintain a Public Trust clearance.