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HighlightTA

Data Scientist

HighlightTA

Data Scientist at Neon One responsible for data modeling and AI automation for nonprofits. Working with diverse datasets to enhance social impact through technology.

Posted 7/31/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $125,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and deploying machine learning models, with strong expertise in Python and SQL for data manipulation. Capable of transforming complex datasets into actionable insights and production-ready data products.

Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProgrammingAWS SageMakerAdvanced SQL ProficiencyData Modeling

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceData EngineeringRelational Data ModelsDimensional Data ModelsAnalytical Data ModelsData ManipulationQuery OptimizationModel TrainingModel ValidationData Product Development
Soft Skills
Exceptional CommunicationSelf-Starter
Industry Keywords
Data RequirementsData FlowsReportsDashboards

Tech Stack

Tools & technologies
AWSCloudPythonSQL

About the role

Key responsibilities & impact
  • Dive deep into large, disparate datasets to design relational, dimensional, and analytical data models.
  • Partner with Data Engineer and Salesforce architects to define data requirements and operationalize data flows.
  • Design, build, train, and validate machine learning models, ensuring efficient packaging and deployment in production.
  • Transform complex model outputs into production-ready data products.
  • Develop underlying data layers that power reports and dashboards.

Requirements

What you’ll need
  • 4+ years of hands-on experience in a data science or data engineering role
  • Demonstrated proficiency in Python (or similar languages)
  • Hands-on experience building, training, and deploying machine learning models using a major cloud ML platform, preferably AWS SageMaker
  • Advanced SQL proficiency for complex data manipulation and query optimization
  • Demonstrated ability to work autonomously as a self-starter
  • Exceptional communication skills
  • A Bachelor's degree in a technical field such as Computer Science, Software Engineering, or a related quantitative discipline.

Benefits

Comp & perks
  • Offers Bonus
  • 8 - 10% bonus potential