Data Scientist, Python, AWS

This is a fully remote position, open to applicants in District of Columbia, +1 more state.

📋 Description

• Collaborate with mission owners to frame analytical questions and transform them into testable designs.

• Construct analyses and models using Python and SQL on AWS cloud-native data platforms.

• Create forecasting, classification, risk-scoring, and anomaly-detection models.

• Design evaluations for models that include baselines, validation frameworks, error analysis, documented limits, and verifiable documentation.

• Generate analytical features and datasets from extensive, complex, document-heavy corpora.

• Utilize Amazon Textract for text extraction and analyze it with foundational models via Amazon Bedrock.

• Refine one-time notebooks into repeatable, reviewed analytical pipelines.

• Deliver findings to decision-makers using clear language and effective visualizations.

• Leverage AI-assisted analysis, language models, and coding aids throughout the project lifecycle.

• Work collaboratively with developers, engineers, data scientists, architects, and strategists on client assignments.

• Address federal-agency analytical inquiries from data to defensible, well-documented conclusions.

⛳️ Requirements

• A minimum of 4 years of practical experience in data science or statistical modeling.

• A Bachelor's degree is required.

• Strong proficiency in Python and SQL.

• Knowledge of statistics, machine learning, and model validation is essential.

• Familiarity with cloud-based data and analytics services, specifically on AWS.

• Capability to lead an analysis from inquiry to defensible, documented outcomes.

• Proficient in writing, PowerPoint, and Excel.

• Initial engagement requires U.S. citizenship.

• Ability to obtain a Public Trust determination is necessary.

• Preferred: A Master's degree in a relevant discipline.

• Preferred: Experience with contemporary data tools and platforms, such as Amazon Aurora, Amazon S3 with Apache Iceberg, AWS Glue, or Trino.

• Preferred: Experience in applying large language models to analytical tasks, including Amazon Bedrock or similar services.

• Preferred: Skills in data visualization, covering everything from chart design to dashboards and charting libraries.

• Preferred: Experience in federal information technology.

• Preferred: Familiarity with AI-assisted developer tools.

🏝️ Benefits

• Comprehensive medical, dental, and vision insurance with the employee premium fully covered and half of dependent premiums paid.

• Employer-funded life insurance.

• Employer-funded accidental death insurance.

• Employer-funded short-term and long-term disability insurance.

• 401(k) plan with a 100% match up to 4% of salary, with immediate vesting.

• Unlimited paid time off.

• Sponsored professional certifications, including DCAM and AWS technical certifications.

• Opportunities for continuing education.