Logix Guru
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a Master's degree in a STEM field or a Bachelor's with 3+ years of analytics experience. Requires proficiency in R, Python, SQL, and machine learning tools, with a Financial Services background preferred. Contract length and pay rate unspecified; local candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, OH
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🧠 - Skills detailed
#Data Pipeline #SageMaker #SAS #Scripting #Mathematics #Big Data #AWS (Amazon Web Services) #Web Scraping #Computer Science #Scala #Python #Statistics #NoSQL #Cloud #ML (Machine Learning) #TensorFlow #Predictive Modeling #Linear Regression #Regression #SQL (Structured Query Language) #R #Data Science #AWS SageMaker #Data Analysis
Role description
•
• Local candidates only
•
•
• Basic Qualifications:
Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
Up-to-date knowledge of machine learning and data analytics tools and techniques
Knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
Work and/or educational experience with big data analysis tools and techniques
Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Financial Services background
•
• Local candidates only
•
•
• Basic Qualifications:
Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Qualifications:
Up-to-date knowledge of machine learning and data analytics tools and techniques
Knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
Work and/or educational experience with big data analysis tools and techniques
Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Financial Services background
