

Information Technology - Data Scientist 3
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
September 26, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
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π - Security clearance
Unknown
-
π - Location detailed
Irving, TX
-
π§ - 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
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