Description Data Scientist III (Senior)Location: Hybrid Columbus, OH
Service Type: 13 Week Contract to Hire
Pay: Available on W2 Basis
Job SummaryA leading financial services organization is seeking a skilled and data-driven
Senior Data Scientist to join its Enterprise Analytics team. This role supports the company's growth strategy by delivering data-driven insights and uncovering opportunities that enhance customer experience and value delivery.
The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision-making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.
This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise-level strategy.
Team OverviewThis position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as
R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.
The team operates within an Agile framework and supports projects across the full lifecycle-from ideation through delivery-on large, high-impact initiatives. The environment is fast-paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction.
Key Responsibilities- Apply advanced analytics methods to extract value from complex business data
- Design and execute large-scale experiments and build data-driven models to address business questions
- Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence
- Define data and modeling requirements to train and evolve predictive and deep learning models
- Present data-driven insights and recommendations to influence product and business teams
- Partner with cross-functional stakeholders to support data-informed decision-making
- Perform additional duties as assigned
Requirements Basic Qualifications- Master's degree (completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or another STEM-related field
- OR
- Bachelor's degree with a minimum of 3 years of professional experience in analytics or data science
- Hands-on experience with R, RStudio, Python, SAS, SQL, and NoSQL technologies
Preferred Qualifications- Up-to-date knowledge of machine learning and advanced analytics tools and techniques
- Experience with predictive modeling methodologies
- Ability to work with both structured and unstructured data sources
- Experience conducting statistical analysis using advanced statistical software and scripting languages
- Exposure to big data tools and techniques
- Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
- Understanding of statistical methods, including regression techniques, Bayesian methods, and multilevel modeling
- Experience with cloud-based machine learning platforms such as AWS SageMaker
- Familiarity with machine learning frameworks such as TensorFlow, scikit-learn, or caret
- Financial services experience is a plus
Technical Skills- SQL programming and experience with large database platforms such as Oracle, DB2, SQL Server, SPSS, Teradata, or Hadoop
- Programming experience with Python, R, or Spark
- Experience with AWS SageMaker and data visualization tools such as Streamlit
- Advanced education or equivalent professional experience in analytics or data science, as outlined in the qualifications above
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