

Robert Half
Data Scientist: III (Senior)
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist: III (Senior) with a contract length of "unknown," offering a pay rate of "unknown." Key skills include machine learning, predictive modeling, and experience in financial services. Certifications in relevant data science tools are preferred.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
520
-
๐๏ธ - Date
February 6, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
Unknown
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
Columbus, OH 43219
-
๐ง - Skills detailed
#SAS #Cloud #TensorFlow #.Net #NoSQL #Leadership #Regression #AI (Artificial Intelligence) #Statistics #R #Predictive Modeling #Visualization #Database Architecture #AWS (Amazon Web Services) #AWS SageMaker #Linear Regression #ML (Machine Learning) #SageMaker #Deep Learning #Python #SQL (Structured Query Language) #Data Science
Role description
Our Enterprise Data and Analytics team is growing. Weโre looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers support our communities and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America and we need data and analytics to meet that goal. As we advance our data science and analytics capabilities we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical algorithmic mining and visualization techniques. We are looking for a leader who has a passion for developing others driving change and continuously improving and evolving the application of technologies to meet todays and tomorrowโs challenges. Key Responsibilities:
Prioritizes analytical projects based on business value and technological readiness
Performs 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
Evangelizes best practices to analytics and products teams
Acts as the go-to resource for machine learning across a range of business needs
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
Anticipates and analyzes trends in technology while assessing the emerging technologies impact(s)
Qualifications:
Minimum of 5 years of experience in statistics & ML, preferably within finance.
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Ability to train more junior analysts regarding day-to-day activities, as necessary
Proven ability to lead cross-functional teams
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
Financial Services background preferred.
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
Technology Doesn't Change the World, People Do. ยฎ Robert Half is the worldโs first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. ยฉ 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking โApply Now,โ youโre agreeing to Robert Halfโs Terms of Use and Privacy Notice .
Our Enterprise Data and Analytics team is growing. Weโre looking for a Lead Data Scientist to assist with building and developing our Data Science team and lead us into the next generation of banking. We are reimagining how data is used across the bank to better serve our customers support our communities and make our colleagues lives better. Our goal is to be the best performing Regional Bank in America and we need data and analytics to meet that goal. As we advance our data science and analytics capabilities we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical algorithmic mining and visualization techniques. We are looking for a leader who has a passion for developing others driving change and continuously improving and evolving the application of technologies to meet todays and tomorrowโs challenges. Key Responsibilities:
Prioritizes analytical projects based on business value and technological readiness
Performs 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
Evangelizes best practices to analytics and products teams
Acts as the go-to resource for machine learning across a range of business needs
Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization
Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs
Anticipates and analyzes trends in technology while assessing the emerging technologies impact(s)
Qualifications:
Minimum of 5 years of experience in statistics & ML, preferably within finance.
Up-to-date knowledge of machine learning and data analytics tools and techniques
Strong knowledge in predictive modeling methodology
Experienced at leveraging both structured and unstructured data sources
Willingness and ability to learn new technologies on the job
Demonstrated ability to communicate complex results to technical and non-technical audiences
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Ability to train more junior analysts regarding day-to-day activities, as necessary
Proven ability to lead cross-functional teams
Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL)
Financial Services background preferred.
Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling.
Technology Doesn't Change the World, People Do. ยฎ Robert Half is the worldโs first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. ยฉ 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking โApply Now,โ youโre agreeing to Robert Halfโs Terms of Use and Privacy Notice .






