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Data Scientist - Remote

YO IT Consulting

full-remotemidcontractdata Florida, United States 15 days ago via LinkedIn

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Tags

Data SciencePythonRPredictive ModelingExploratory Data AnalysisData CleaningTableauPower BIStatistical ModelingMachine Learning

About the role

Role Overview

Data Scientist (Contractor) — Remote Apply data science expertise to support the training and improvement of next-generation AI systems by turning high-quality real-world data into insights and model-ready inputs. No prior AI experience is required; strong data and statistical foundations are the key.

Responsibilities

  • Collect, clean, and preprocess diverse datasets to ensure integrity and readiness for analysis
  • Develop, validate, and implement statistical models to derive actionable insights from complex data
  • Perform exploratory data analysis (EDA) to uncover trends, patterns, and business opportunities
  • Create data visualizations and reports to present findings to both technical and non-technical stakeholders
  • Collaborate on end-to-end data projects from ideation through delivery
  • Continuously improve analytical methods and automation to enhance data workflows
  • Communicate recommendations clearly through written and verbal updates

Requirements

  • Strong expertise in statistics, mathematics, and data analysis techniques
  • Proven experience collecting, handling, and cleaning large complex datasets
  • Programming proficiency in Python, R, or similar for data manipulation and modeling
  • Solid data modeling skills, including building and validating predictive models
  • Advanced data visualization skills using Tableau, Power BI, or similar
  • High attention to data quality and detail
  • Excellent written and verbal communication skills

Preferred Qualifications

  • Experience working in remote, cross-functional, customer-focused teams
  • Background developing and deploying machine learning solutions in production environments

About YO IT Consulting

YO IT Consulting is a consulting organization focused on delivering technology and data services. The role suggests work helping train and improve AI systems using real-world data pipelines and analytics.

Scraped 7/10/2026