Information Technology - Data Scientist 3

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist 3, based in Cary, NC or Irving, TX, with a 12-month contract. Requires 5+ years of experience, proficiency in Python and SQL, and strong communication skills. Onsite full-time work is mandatory.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 26, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Irving, TX
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🧠 - Skills detailed
#Deployment #Visualization #NLP (Natural Language Processing) #Datasets #Libraries #Data Processing #Classification #Snowflake #TensorFlow #Data Analysis #AWS (Amazon Web Services) #Pandas #ML (Machine Learning) #Regression #Microsoft Power BI #BI (Business Intelligence) #Cloud #Automation #Azure #SQL (Structured Query Language) #Python #Clustering #Model Deployment #Forecasting #Data Science #Statistics #Data Modeling
Role description
Job Title: Data Scientist Location: Cary North Carolina, 27513/Irving, TX 75039 Duration: 12 Months β€’ Typical task breakdown and rhythm β€’ Interaction level with team β€’ Team Structure β€’ Work environment description Typical task breakdown: - Data Collection & Preparation: Gather, clean, and validate data from various sources to ensure quality and usability - Exploratory Data Analysis: Identify trends, anomalies, and patterns in large datasets - Model Development: Design and implement machine learning models (e.g., regression, classification, clustering, NLP) to support forecasting and decision-making - Data Visualization: Create dashboards and reports using tools like Power BI, etc., to communicate findings - Automation & Optimization: Develop scripts and tools to automate data processing and model deployment - Collaboration: Work cross-functionally with product, engineering, and business teams to align data initiatives with strategic goals - Research & Innovation: Stay current with emerging technologies and methodologies in data science and apply them to business challenges Interaction with team: - Primarily working with 10+ folks, working with business ( technical team and partners ) Work environment: - Onsite Full time Candidate Requirements β€’ Years of experience required β€’ Degrees or certifications required β€’ Top 3 Skills β€’ Disqualifiers/Overqualifications β€’ Performance indicators Education & Experience Required: - Years of experience: 5+ years (regardless of level of degree) - Degree requirement: Bachelors and/or Masters are required - Do you accept internships as job experience: Yes Required Technical Skills (Required) - Proficiency in Python, SQL, and data science libraries (e.g., Pandas, Scikit-learn, TensorFlow) - Strong foundation in statistics, probability, and machine learning - Familiarity with cloud platforms (e.g., Azure, AWS, Snowflake) and data modeling - Excellent communication skills to explain technical concepts to non-technical stakeholders Soft Skills (Required) - Excellent communication - Business acumen