Job Title

Description Data Scientist III (Senior) Location: Hybrid Columbus, OH Service Type: 13 Week Contract to Hire Pay: Available on W2 Basis Job Summary A leading financial services organization is seeking a skilled and datau2011driven Senior Data Scientist to join its Enterprise Analytics team. This role supports the companyu2019s growth strategy by delivering datau2011driven 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 decisionu2011making. 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 enterpriseu2011level strategy. Team Overview This 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 lifecycleu2014from ideation through deliveryu2014on large, highu2011impact initiatives. The environment is fastu2011paced 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 largeu2011scale experiments and build datau2011driven 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 datau2011driven insights and recommendations to influence product and business teams + Partner with crossu2011functional stakeholders to support datau2011informed decisionu2011making + Perform additional duties as assigned Requirements Basic Qualifications + Masteru2019s degree (completed by Spring 2025) in Computer Science, Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or another STEMu2011related field + OR + Bacheloru2019s degree with a minimum of 3 years of professional experience in analytics or data science + Handsu2011on experience with R, RStudio, Python, SAS, SQL, and NoSQL technologies u2022Preferred Qualifications + Upu2011tou2011date 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 cloudu2011based machine learning platforms such as AWS SageMaker + Familiarity with machine learning frameworks such as TensorFlow, scikitu2011learn, 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 Technology Doesn't Change the World, People Do.u00ae Robert Half is the worldu2019s 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. u00a9 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. 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