Insight Global
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include SAS, SQL, Python or R, and experience in statistical modeling and machine learning. A Master’s degree and familiarity with cloud platforms are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, Ohio Metropolitan Area
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🧠 - Skills detailed
#Data Science #Microsoft Power BI #Visualization #Hadoop #Statistics #Big Data #NLP (Natural Language Processing) #Spark (Apache Spark) #Cloud #Azure #R #SQL (Structured Query Language) #Data Strategy #Storytelling #Strategy #Programming #AWS (Amazon Web Services) #SAS #Deep Learning #Tableau #Deployment #BI (Business Intelligence) #Python #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Data Mining #Computer Science #ML (Machine Learning) #Datasets
Role description
Required Skills & Experience
• Proficiency in SAS, SQL, and at least one programming language such as Python or R
• Strong foundation in statistical modeling, data mining, and machine learning techniques
• Demonstrated ability to communicate complex analytical insights clearly to both technical and non-technical stakeholders
• Proven experience in cross-functional collaboration within product, engineering, and business teams
Nice to Have
• Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Familiarity with cloud-based analytics platforms (AWS, Azure, GCP)
• Experience with big data technologies (Hadoop, Spark) and data visualization tools (Tableau, Power BI)
Job Description
A client of Insight Global is seeking multiple Data Scientists to join a high-impact analytics team. This role is ideal for professionals passionate about leveraging data to drive strategic decisions and innovation.
Key Responsibilities
• Apply advanced analytics and machine learning techniques to extract actionable insights from large, complex datasets
• Design and execute large-scale experiments and build predictive models to solve critical business challenges
• Conduct research on cutting-edge AI/ML methodologies, including deep learning and natural language processing
• Define and implement requirements for training and optimizing deep learning models
• Develop and articulate a data strategy roadmap, positioning data as a core corporate asset
• Influence product development through data-driven recommendations and storytelling
• Champion best practices in analytics, fostering a culture of data literacy across teams
• Own the end-to-end model lifecycle: from business requirement gathering, data sourcing, model development, validation, and deployment into production environments
Required Skills & Experience
• Proficiency in SAS, SQL, and at least one programming language such as Python or R
• Strong foundation in statistical modeling, data mining, and machine learning techniques
• Demonstrated ability to communicate complex analytical insights clearly to both technical and non-technical stakeholders
• Proven experience in cross-functional collaboration within product, engineering, and business teams
Nice to Have
• Master’s degree in Data Science, Statistics, Computer Science, or a related field
• Familiarity with cloud-based analytics platforms (AWS, Azure, GCP)
• Experience with big data technologies (Hadoop, Spark) and data visualization tools (Tableau, Power BI)
Job Description
A client of Insight Global is seeking multiple Data Scientists to join a high-impact analytics team. This role is ideal for professionals passionate about leveraging data to drive strategic decisions and innovation.
Key Responsibilities
• Apply advanced analytics and machine learning techniques to extract actionable insights from large, complex datasets
• Design and execute large-scale experiments and build predictive models to solve critical business challenges
• Conduct research on cutting-edge AI/ML methodologies, including deep learning and natural language processing
• Define and implement requirements for training and optimizing deep learning models
• Develop and articulate a data strategy roadmap, positioning data as a core corporate asset
• Influence product development through data-driven recommendations and storytelling
• Champion best practices in analytics, fostering a culture of data literacy across teams
• Own the end-to-end model lifecycle: from business requirement gathering, data sourcing, model development, validation, and deployment into production environments
