Data Scientist - Remote
YO IT Consulting
full-remotemidcontractdata Florida, United States 15 days ago via LinkedIn
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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