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Data Scientist - Remote

Posted 2 days ago
Data Analysis
Full Time
USA

Overview

As a Data Scientist at Neon One, you will develop client-facing predictive models and shape the intelligence layer of our next-generation AI platform, working in a fully remote environment.

In Short

  • Design, build, and validate predictive machine learning models.
  • Explore and connect data across various platforms.
  • Partner with AWS contractors for MLOps development.
  • Conduct exploratory data analysis to identify key relationships.
  • Translate model outputs into actionable strategies.
  • Build dashboards and reports for clients.
  • Drive end-to-end projects independently.
  • Collaborate with Data Engineers to ensure model integration.
  • Share findings with stakeholders across teams.
  • Work in a fast-paced, ambiguous environment.

Requirements

  • 4+ years of experience in data science.
  • Experience with data modeling and ML architecture.
  • Strong skills in Python or R; Python preferred.
  • Advanced SQL proficiency.
  • Experience with cloud ML platforms, preferably AWS SageMaker.
  • Ability to manage projects independently.
  • Strategic thinking and curiosity about data science applications.
  • Bachelor’s degree in a quantitative field.

Benefits

  • Unlimited paid time off.
  • Comprehensive health plans.
  • 401(k) with company match.
  • Paid parental leave after one year.
  • Company-paid life insurance and disability.
  • Pet insurance.
  • 11 company holidays.
  • Paid sick time and a monthly paid volunteer day.
  • Flexible spending accounts.
  • Fully remote workplace.
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HighlightTA

HighlightTA is a dynamic and innovative company focused on providing fast, flexible, and cost-effective talent solutions to help businesses build exceptional teams. Founded by former in-house talent leaders, HighlightTA aims to address the challenges companies face with hiring demands, layoffs, and inconsistent growth. The company values collaboration, growth, and creativity, and is dedicated to helping clients grow sustainably while accessing top talent experts easily.

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