Data Scientist, Python, AWS

🕒 September 30

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $78k - $147k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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OPENDataJobs

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2024

🎯 Recruiter

🏛️ Government

Recruitment • Government

OPENDataJobs is a specialized recruitment and career platform that connects AI, data, and software professionals with federal-sector opportunities. The site publishes live open positions drawn from its recruiting system and organizes roles into a standardized taxonomy (seven categories and twenty-five roles) with role pages describing work, key skills, and career paths. OPENDataJobs focuses on federal hires across agencies, contractors, consulting firms, and technology providers, handles applications through a secure recruiting system, and is a division of Peregrine Advisors Benefit, Inc.

📋 Description

• Frame analytical questions with mission owners and turn them into testable designs • Build analyses and models in Python and SQL on AWS cloud-native data platforms • Develop forecasting, classification, risk-scoring, and anomaly-detection models • Design model evaluations with baselines, validation designs, error analysis, documented limits, and verifiable documentation • Build analytical features and datasets from large, messy, document-heavy corpora • Extract text with Amazon Textract and analyze it with foundation models through Amazon Bedrock • Harden one-off notebooks into repeatable, reviewed analytical pipelines • Present findings to decision-makers in plain language with effective visualizations • Use AI-assisted analysis, language models, and coding assistants across the lifecycle • Collaborate with developers, engineers, data scientists, architects, and strategists across client assignments • Carry federal-agency analytical questions from data to defensible, documented answers

🎯 Requirements

• 4+ years of applied data science or statistical modeling experience • Bachelor's degree • Strong working command of Python and SQL • Working knowledge of statistics, machine learning, and model validation • Familiarity with cloud-based data and analytics services on AWS • Ability to carry an analysis from question to defensible, documented answer • Proficiency in writing, PowerPoint, and Excel • Initial engagement requires United States citizenship • Ability to obtain a Public Trust determination • Preferred: Master's degree in a relevant field • Preferred: Experience with modern data tools and platforms, including Amazon Aurora, Amazon S3 with Apache Iceberg, AWS Glue, or Trino • Preferred: Experience applying large language models to analytical work, such as Amazon Bedrock or comparable services • Preferred: Data-visualization craft, from chart design through dashboards and charting libraries • Preferred: Federal information technology experience • Preferred: Familiarity with AI-assisted developer tooling

🏖️ Benefits

• Medical, dental, and vision insurance with the employee premium fully paid and half of dependent premiums • Employer-paid life insurance • Employer-paid accidental death insurance • Employer-paid short-term and long-term disability insurance • 401(k) matched 100% up to 4% of salary, vesting immediately • Unlimited paid time off • Sponsored professional certifications, including DCAM and AWS technical certifications • Continuing education