Data Scientist

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Utilize SQL and Python to extract, clean, transform, and analyze structured data from PostgreSQL and other authorized sources.

• Conduct exploratory data analysis to uncover patterns, trends, anomalies, and issues related to data quality.

• Aid in the development, testing, and documentation of statistical analyses, machine-learning models, and analytical workflows.

• Create and support notebooks and reproducible analytical workflows within Databricks.

• Design and maintain visualizations, datasets, and reports for DataConnect using AWS QuickSight.

• Validate analytical outputs and document assumptions, methodologies, limitations, and results.

• Collaborate with data engineers to define data requirements, address quality issues, and enhance analytical datasets.

• Convert business inquiries into quantifiable analyses with support from senior team members and stakeholders.

• Write reusable, version-controlled code along with basic unit tests for analytical functions and data transformations.

• Present findings through written reports, visualizations, and team presentations.

• Adhere to standards concerning data privacy, security, governance, and responsible data usage.

• Engage in Agile planning, refinement, peer reviews, and ongoing learning activities.

• Perform additional duties as assigned.

⛳️ Requirements

• Bachelor's degree.

• Over 2 years of experience utilizing Python for data analysis, data preparation, and statistical modeling.

• Candidates must be able to obtain and maintain a Public Trust clearance.

• Candidates must reside in the United States, be authorized to work in the United States, and have lived in the United States for three full years out of the last five.

• Bachelor's degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative discipline.

• Academic, internship, project, or professional experience applying Python for data analysis.

• Basic SQL skills, including joins, aggregations, filtering, and data validation.

• Understanding of fundamental statistics, data preparation, exploratory analysis, and model evaluation concepts.

• Ability to clearly communicate analytical methods and findings in writing and presentations.

• Capability to work collaboratively, manage assigned tasks, and integrate feedback.

• Experience with PostgreSQL or another relational database platform.

• Experience with Databricks, Spark, notebooks, or cloud-based analytics platforms.

• Proficiency in creating data visualizations or dashboards using AWS QuickSight or a similar business-intelligence tool.

• Familiarity with common Python data science libraries such as pandas, NumPy, scikit-learn, or PySpark.

• Knowledge of TypeScript and its application in data applications, dashboards, services, or integrations.

• Familiarity with Git, code reviews, unit testing, CI/CD, or Agile development practices.

• Exposure to data governance, metadata, data quality, privacy, or responsible AI practices.

• Experience working with health, public sector, or other regulated data environments.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan with company matching.

• Opportunities for professional development and continuous learning.

• Flexible work arrangements and a supportive team environment.