Data Scientist

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

📋 Description

• Design and maintain data pipelines utilizing Python to gather, process, and integrate data from various sources.

• Enhance current data workflows emphasizing quality assurance, sustainability, thorough documentation, and maintainability.

• Guarantee that analytic workflows are reproducible, well-organized, and scalable.

• Facilitate the responsible management of sensitive data in accordance with FERPA and AACOM data governance standards.

• Create dashboards and data visualization tools primarily using Tableau and Python.

• Support and improve existing dashboards, internal analytics tools, and client-facing data products.

• Convert intricate datasets into understandable and actionable visual insights.

• Transform established research designs into implementable analytic workflows.

• Clean, restructure, and validate complex administrative and survey datasets.

• Perform quantitative analyses with increasing autonomy over time.

• Contribute to applied research projects, including workforce studies, survey analysis, and text-based or NLP initiatives.

• Assist in the development and operationalization of statistical and/or machine learning models used in research and operational projects.

• Collaborate with colleagues from various AACOM departments to further strategic data and analytics initiatives.

• Foster a culture of innovation, ongoing learning, and process enhancement.

• Clearly and consistently document workflows, methodologies, and technical processes.

• Stay informed about emerging tools, technologies, and best practices in the fields of data science and analytics.

⛳️ Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Public Health, or a related discipline; or equivalent professional experience.

• A minimum of three (3) years of experience working with Python and SQL.

• At least one (1) year of experience in building data models and utilizing advanced analytics, including machine learning or statistical modeling techniques.

• Strong expertise in Python and SQL.

• Experience with data manipulation, statistical analysis, machine learning, and data visualization libraries.

• Excellent data cleaning, validation, and troubleshooting skills.

• Experience handling structured datasets and relational databases.

• Familiarity with cloud platforms such as AWS and/or Azure.

• Understanding of DevOps or deployment practices.

• Comfortable using contemporary AI-assisted tools when applicable.

• Ability to work autonomously, navigate ambiguity, and proactively solve problems.

• Strong attention to detail and documentation standards.

• Intellectual curiosity, adaptability, and receptiveness to feedback.

• Capability to manage sensitive data responsibly and in compliance with FERPA.

🏝️ Benefits

• Annual bonus program

• 403(b) with generous employer contribution

• Company-paid medical, dental, and vision insurance

• Company-provided life insurance

• Short-term and long-term disability plans

• Flexible Spending Account

• 12 annual company-paid holidays

• Vacation and sick leave benefits

• Professional development opportunities

• And more!