TITLE: Data Scientist (Only Local Candidates) (ONLY GC & USC)

Location: Columbus, Ohio

Duration: 3+Months (Contract to Hire)

Hybrid Position

TECHNICAL SKILLS

Must Have

Direct experience with SQL programming and large database applications such as Oracle, DB2, SQL Server, SPSS, Teradata, and Hadoop
In lieu of a Master's degree, a Bachelor's degree with a minimum of 5 years work experience in analytics or data science
Master's degree in Decision Sciences, Statistics, Applied Mathematics, Engineering, Computer Science or Information Systems, Operations Research, or a STEM degree AND a minimum of 3 years of work experience in analytics or data science. If candidate has a PhD, no work experience is required.

Nice To Have

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

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

Thank you!

Siva Sankar

DevCare Solutions

Westerville, OH 43082

614-385-1034(D)

sivas@devcare.com |www.DevCare.com

LinkedIn:https://www.linkedin.com/in/siva-sankar-493028191/

DevCare Solutions

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