Data Scientist: III

Description Overview We are seeking a highly analytical Data Scientist / Advanced Analytics Specialist to leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex business data. This role focuses on building datau2011driven models, conducting largeu2011scale experimentation, and influencing business decisions through actionable insights. The ideal candidate is intellectually curious, thrives in ambiguous problem spaces, and enjoys applying cuttingu2011edge analytics techniques to realu2011world business challenges. Key Responsibilities + Apply advanced analytics methods to extract value from structured and unstructured business data + Design and execute largeu2011scale experiments and develop datau2011driven models to answer complex business questions + Conduct research on emerging techniques and tools in machine learning, deep learning, and artificial intelligence + Define requirements used to train, evaluate, and evolve predictive and deep learning models + Analyze results and present datau2011based recommendations to product, business, and technical teams + Influence decisionu2011making through clear, compelling data storytelling and insights + Support ongoing analytics initiatives and perform additional duties as assigned Requirements Required Qualifications Masteru2019s degree completed by Spring 2025 in: + Computer Science + Information Systems + Decision Sciences + Statistics + Operations Research + Applied Mathematics + Engineering + Or a related STEM discipline + OR Bacheloru2019s degree with 3+ years of professional experience in analytics or data science Handsu2011on experience with: + R / RStudio + Python + SAS + SQL / NoSQL + Strong analytical, quantitative, and problemu2011solving skills Preferred 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 software, scripting languages, and packages + Exposure to big data tools, scalable data pipelines, and web scraping techniques + Foundational experience building and deploying predictive models + Strong understanding of statistical methods including: + Bayesian networks and inference + Linear and nonu2011linear regression + Hierarchical and mixedu2011effects models + Experience with cloudu2011based machine learning platforms (e.g., AWS SageMaker) + Familiarity with machine learning frameworks such as TensorFlow, scikitu2011learn, or caret + Background in financial services or banking is a plus 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. By clicking u201cApply Now,u201d youu2019re agreeing to Robert Halfu2019s Terms of Use ( and Privacy Notice (.

Created: 2026-03-20