Data Scientist
Jobs via Dice
•
Columbus, OH
0
0
0
0
Not Applicable
Posted March 20, 2026
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Responsibilities
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.
Not Met Priorities
What still needs stronger evidence
Requirements
- Experience with R, RStudio, Python, SAS, SQL, NoSQL
Preferred Skills
- 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
- Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
- Experience in banking or financial services is a plus
Education
- (Required) – Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degre or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years work experience in analytics or data science
- (Not required) – Work and/or educational experience with big data analysis tools and techniques
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Generic Solutions Inc, is seeking the following. Apply via Dice today!
Data Scientist 8301/ 8300
Contract to Hire
Location - Columbus, OH
Summary:
Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
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.
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 degre 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
Data Scientist 8301/ 8300
Contract to Hire
Location - Columbus, OH
Summary:
Our banking client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.
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.
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 degre 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