STAFFXPERT LLC
Data Scientist - W2 Only
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist in Columbus, OH (Hybrid) with a contract length of "unknown". The pay rate is "unknown". Candidates should have a Master’s degree or relevant experience, proficiency in Python, SQL, and familiarity with machine learning techniques.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Columbus, Ohio Metropolitan Area
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #Leadership #Data Science #Data Analysis #Scala #Big Data #Mathematics #Computer Science #Tableau #Cloud #Datasets #Model Deployment #Programming #TensorFlow #NoSQL #"ETL (Extract #Transform #Load)" #Predictive Modeling #Visualization #Databases #SAS #Statistics #AWS (Amazon Web Services) #Deployment #ML (Machine Learning) #SQL (Structured Query Language) #Python #R #Distributed Computing #Data Pipeline
Role description
Job Title: Data Scientist
Location: Columbus, OH (Hybrid)
Job Summary
STAFFXPERT LLC is seeking a Data Scientist on behalf of our client in Columbus, OH. This role is part of a high-impact Enterprise Analytics team focused on driving business growth through data-driven insights and advanced analytics. The ideal candidate will combine strong technical expertise with effective communication skills to analyze complex datasets, build predictive models, and deliver actionable insights that enhance customer experience and business performance.
Key Responsibilities
• Apply advanced analytics and machine learning techniques to extract insights from large, complex datasets
• Develop and deploy predictive models to solve business problems and support decision-making
• Perform exploratory data analysis and large-scale experimentation
• Collaborate with cross-functional teams including Product, Marketing, Finance, and Technology
• Translate business requirements into analytical solutions and data-driven recommendations
• Present insights and findings to stakeholders, including senior leadership
• Research and implement modern machine learning, AI, and data science methodologies
• Contribute to the development of scalable data pipelines and analytics solutions
Required Qualifications
• Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related STEM field OR Bachelor’s degree with relevant experience in data science or analytics
• Hands-on experience with programming languages such as Python or R
• Strong proficiency in SQL and experience working with large datasets
• Experience with statistical modeling, machine learning, and data analysis techniques
• Familiarity with tools such as RStudio, SAS, or NoSQL databases
• Ability to work with both structured and unstructured data
• Strong problem-solving and analytical thinking skills
Preferred Qualifications
• Knowledge of predictive modeling methodologies and advanced statistical techniques
• Experience with machine learning frameworks such as TensorFlow or scikit-learn
• Exposure to big data tools and distributed computing frameworks
• Experience with cloud-based machine learning platforms (e.g., AWS)
• Familiarity with data visualization tools such as Tableau or similar platforms
• Experience in financial services or other data-driven industries
• Understanding of building scalable data pipelines and model deployment
Job Title: Data Scientist
Location: Columbus, OH (Hybrid)
Job Summary
STAFFXPERT LLC is seeking a Data Scientist on behalf of our client in Columbus, OH. This role is part of a high-impact Enterprise Analytics team focused on driving business growth through data-driven insights and advanced analytics. The ideal candidate will combine strong technical expertise with effective communication skills to analyze complex datasets, build predictive models, and deliver actionable insights that enhance customer experience and business performance.
Key Responsibilities
• Apply advanced analytics and machine learning techniques to extract insights from large, complex datasets
• Develop and deploy predictive models to solve business problems and support decision-making
• Perform exploratory data analysis and large-scale experimentation
• Collaborate with cross-functional teams including Product, Marketing, Finance, and Technology
• Translate business requirements into analytical solutions and data-driven recommendations
• Present insights and findings to stakeholders, including senior leadership
• Research and implement modern machine learning, AI, and data science methodologies
• Contribute to the development of scalable data pipelines and analytics solutions
Required Qualifications
• Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related STEM field OR Bachelor’s degree with relevant experience in data science or analytics
• Hands-on experience with programming languages such as Python or R
• Strong proficiency in SQL and experience working with large datasets
• Experience with statistical modeling, machine learning, and data analysis techniques
• Familiarity with tools such as RStudio, SAS, or NoSQL databases
• Ability to work with both structured and unstructured data
• Strong problem-solving and analytical thinking skills
Preferred Qualifications
• Knowledge of predictive modeling methodologies and advanced statistical techniques
• Experience with machine learning frameworks such as TensorFlow or scikit-learn
• Exposure to big data tools and distributed computing frameworks
• Experience with cloud-based machine learning platforms (e.g., AWS)
• Familiarity with data visualization tools such as Tableau or similar platforms
• Experience in financial services or other data-driven industries
• Understanding of building scalable data pipelines and model deployment
