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.

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

• Create and maintain notebooks and repeatable analytical workflows within Databricks.

• Develop and manage visualizations, datasets, and reports for DataConnect using AWS QuickSight.

• Validate analytical outputs while documenting assumptions, methodologies, limitations, and results.

• Collaborate with data engineers to define data requirements, address quality concerns, 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 fundamental unit tests for analytical functions and data transformations.

• Present insights through written summaries, visualizations, and team presentations.

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

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

• Execute other responsibilities as assigned.

⛳️ Requirements

• A Bachelor's degree.

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

• Capability to obtain and maintain a Public Trust clearance.

• Must reside in and be authorized to work in the United States.

• Must have lived in the United States for at least three full years out of the last five years.

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

• Foundational SQL skills, encompassing joins, aggregations, filtering, and data validation.

• Knowledge of core statistics, data preparation, exploratory analysis, and model evaluation concepts.

• Experience with PostgreSQL or another relational database platform.

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

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

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

• Basic understanding of TypeScript.

• 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

• Reasonable accommodations for disabilities, disabled veterans, and sincerely held religious beliefs.

• Equal opportunity employment.

• Benefits information provided under the Transparency in Coverage Act.