

PlanIT Group, LLC
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Raleigh, with a contract length of "unknown" and a pay rate of "unknown". Requires 13-20 years of experience, proficiency in SQL, Python, or R, and strong data analysis and visualization skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Raleigh, NC
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🧠 - Skills detailed
#SQL (Structured Query Language) #Big Data #Scripting #Data Analysis #Compliance #Python #Statistics #Data Science #R #Visualization #Data Mining #Documentation #Data Aggregation
Role description
Only submit candidates with the required years of experience- minimum of 13 full years with a degree, 17 years without.
Job Title: Data Scientist onsite in Raleigh.
Description: Identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops database to support the business solutions.
List Of Tasks To Be Performed
Task #1: Data Analysis and Visualization Development
Deliverables will be tailored to each project and may include:
• Rapid analysis scripts
• Visualization prototypes / models
• Interactive dashboards
• Visioning session materials
• Analysis reports and presentations
• Project plans and documentation
The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Analysis techniques are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Task #2: Modeling and Optimization
Deliverables Are Project-dependent And May Include
• Mathematical optimization models
• Source code and/or scripting
• Translational documentation for use in analytical and visualization product development
• Proposal presentations
• Project result documentation and presentations
The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Model parameters and functions are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Required Certification/Experience Level/Education That Displays The Following
• Some academic criteria for data science - Ex. Data science, statistics, or experimental psych. Skilled in SQL, Python or R, preferably both. Have good communication skills, and some proven ability to work in a variety of industries, indicating ability to be a quick study when confronted with the complex environment.
Education Requirements
• A minimum of thirteen (13) to twenty (20) years' relevant experience
• A degree from an accredited College/University in the applicable field of services is preferred. four additional years of relevant experience in lieu of a college degree is required. If the individual's degree is not in the applicable field, then four additional years of related experience is required.
Only submit candidates with the required years of experience- minimum of 13 full years with a degree, 17 years without.
Job Title: Data Scientist onsite in Raleigh.
Description: Identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data models and develops database to support the business solutions.
List Of Tasks To Be Performed
Task #1: Data Analysis and Visualization Development
Deliverables will be tailored to each project and may include:
• Rapid analysis scripts
• Visualization prototypes / models
• Interactive dashboards
• Visioning session materials
• Analysis reports and presentations
• Project plans and documentation
The deliverable shall meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Analysis techniques are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Task #2: Modeling and Optimization
Deliverables Are Project-dependent And May Include
• Mathematical optimization models
• Source code and/or scripting
• Translational documentation for use in analytical and visualization product development
• Proposal presentations
• Project result documentation and presentations
The deliverable must meet the following acceptance criteria in addition to compliance with the technical approach outlined below:
• Model parameters and functions are appropriate for the given need and available data
• Project timelines are met within a reasonable variance due to uncertainty of the individual project
• Project documentation is accurate to the analysis findings and free of grammatical errors
• Products meet the Business Unit's needs and are usable by the Business Unit with minimal training
Required Certification/Experience Level/Education That Displays The Following
• Some academic criteria for data science - Ex. Data science, statistics, or experimental psych. Skilled in SQL, Python or R, preferably both. Have good communication skills, and some proven ability to work in a variety of industries, indicating ability to be a quick study when confronted with the complex environment.
Education Requirements
• A minimum of thirteen (13) to twenty (20) years' relevant experience
• A degree from an accredited College/University in the applicable field of services is preferred. four additional years of relevant experience in lieu of a college degree is required. If the individual's degree is not in the applicable field, then four additional years of related experience is required.






