Data Scientist: III (Senior)
Location: Columbus, OH
Salary: $55.00 USD Hourly – $60.00 USD Hourly
Description:
++Job Title: Data Science++
++Location: Columbus, OH (4 days onsite, 1 day remote)++
++Type: Contract To Hire++
++Type only W2++
++Job Description -++
The Team:
You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.
++Basic Qualifications:++
Master’s degree completed by Fall 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
++About Candidate:++
A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
Experience in banking or financial services is a plus
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Contact:
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