Data Scientist, Python, AWS

OPENDataJobs

. Frame analytical questions with mission owners and turn them into testable designs .

Posted 9/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $78,000 - $147,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science and statistical modeling, with strong capabilities in Python and SQL for building analytical models and pipelines. Proficient in utilizing AWS cloud services and AI-assisted tools to derive actionable insights from complex datasets.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAWS Cloud ServicesStatistical ModelingData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatistical ModelingMachine LearningModel ValidationForecasting ModelsClassification ModelsRisk-Scoring ModelsAnomaly-Detection ModelsText ExtractionAnalytical Pipeline Development

Soft Skills

Effective CommunicationCollaborationPresentation Skills

Tools & Technologies

Amazon TextractAmazon BedrockAmazon AuroraAmazon S3Apache IcebergAWS GlueTrinoPowerPointExcel

Certifications & Qualifications

Bachelor's DegreeMaster's Degree (Preferred)Public Trust Determination (Ability to Obtain)

Industry Keywords

Federal Information TechnologyAI-Assisted Developer ToolingData Visualization Craft

Tech Stack

Tools & technologies

ApacheAWSCloudPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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