DATA SCIENTIST

Columbus, OH, US • Posted 1 day ago • Updated 1 day ago
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Machine Learning
  • Predictive Analytics
  • Statistical Modeling
  • Deep Learning
  • Python
  • sql
  • Banking

Summary

Duties and Responsibilities:

  • Ability to use advanced analytics methods to extract value from business data.
  • Ability to perform large-scale experimentation and build data-driven models to answer business questions.
  • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
  • Determines requirements that will be used to train and evolve deep learning models and algorithms.
  • Influences product teams through presentation of data-based recommendations.
  • Performs other duties as assigned. 

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
  • 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10430719
  • Position Id: Sun_2861
  • Posted 1 day ago
Contact the job poster
KM

Krishna Manohar Badeti

Recruiter @ SUNRAY INFORMATICS
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