Data Scientist - $49.52 - $57.69 per hour

About the Role

This opportunity is for a Data Scientist who will use advanced SQL and Python expertise to perform complex analysis, improve data strategies, and deliver actionable insights. The role involves working with large-scale datasets, statistical modeling, exploratory analysis, data visualization, and both structured and unstructured data. The position supports high-impact analytical work in a collaborative environment and requires the ability to manage multiple priorities, communicate technical findings clearly, and develop reliable data solutions for complex business and regulatory challenges.

What You’ll Do

• Develop and implement databases and data collection systems to acquire information from primary and secondary sources while documenting SQL models for efficient data management.
• Perform comprehensive data manipulation, data wrangling, and exploratory data analysis to identify and interpret complex trends within large-scale datasets.
• Use statistical software and modeling techniques to produce synthesized, actionable insights that support decision-making by senior leadership and client stakeholders.
• Translate complex technical findings for non-technical users through advanced data visualizations, briefings, and executive-level slide presentations.
• Partner with multidisciplinary teams to extract, analyze, and translate insights from structured and unstructured data sources.
• Manage multiple high-priority projects simultaneously while meeting strict deadlines in a collaborative environment.

Qualifications

• Bachelor’s degree in a quantitative field such as Data Science, Applied Mathematics, Statistics, or a related discipline.
• A Master’s degree or completion of a data science boot camp is a plus.
• Two or more years of experience in a data science role.
• Experience in federal financial regulatory environments, such as Treasury, or in government contracting is preferred.
• Advanced proficiency in Python, including Pandas, NumPy, and Matplotlib.
• Advanced SQL skills, including architecting and modifying complex code within relational database management systems.
• Experience using data warehousing solutions to query and extract insights from high-volume, large-scale datasets.
• A strong understanding of descriptive and inferential statistics and regression modeling.
• Ability to use generative AI technologies, including large language models and agent-based coding tools, to automate workflows.
• Proficiency with data science technologies such as PyTorch, TensorFlow, Scikit-learn, natural language processing tools, R, SAS, Plotly, and NoSQL.
• Experience with data visualization and reporting tools such as Power BI and Excel.
• Experience with Palantir products is a plus.

Requirements

• Ability to pass a background investigation and obtain and maintain a Public Trust determination.
• U.S. Citizenship or Permanent Resident status is required.
• Availability to collaborate during core business hours from 9:00 AM to 5:00 PM EST.
• Ability to attend quarterly in-person meetings in the Washington, D.C. area.

Benefits

• Bonus eligibility
• Unlimited paid time off
• Flexible scheduling
• Employer-funded Health Reimbursement Account (HRA) to help cover health insurance deductibles
• Employer-funded 401(k)
• Professional development opportunities
• Inclusive professional work environment
• Quarterly team events
• Additional competitive employee benefits

Pay

N/A

Schedule

Core Working Hours: 9:00 AM - 5:00 PM EST