Data Scientist

Data ScientistChicago, IL | Hybrid, 3 Days OnsiteUp to $170,000 Base + BonusThe CompanyA globally recognized organization is investing heavily in its data and analytics capabilities as it looks to make more sophisticated, predictive use of its data.The analytics function operates as a lean, highly collaborative team, giving individuals significant ownership and exposure across the business. Rather than stepping into a rigid data science environment, this is an opportunity to help shape how predictive analytics is used across the organization.The RoleWe are looking for a hands-on Data Scientist who enjoys taking an ambiguous business problem and figuring out the solution from end to end.You won't always be handed a clean dataset or a perfectly defined modeling problem. You'll work directly with stakeholders to understand what they're trying to solve, identify and prepare the relevant data, determine the right analytical approach, build predictive models, and translate the results into actionable recommendations.Initial projects will focus on areas such as market analysis, forecasting, profitability, and predictive decision-making, with the opportunity to expand into new use cases as the data science capability develops.What You'll DoOwn data science projects from initial business question through deliveryFind, clean, validate, and analyze complex datasetsBuild predictive models using Python and SQLApply techniques including regression, classification, forecasting, clustering, and feature engineeringTranslate ambiguous business problems into practical analytical solutionsEvaluate model performance and communicate findings clearlyPartner closely with business stakeholders and data engineeringHelp identify new opportunities where predictive analytics can improve decision-makingManage multiple projects and take genuine ownership of deliveryWhat We're Looking For5+ years of professional Data Science experienceStrong hands-on Python and SQLExperience building predictive and statistical modelsStrong data wrangling, exploration, and feature engineering skillsExperience owning analytical projects end to endComfortable working with messy or incomplete dataAble to operate effectively in an environment without perfectly defined requirementsStrong stakeholder communication and business problem-solving skillsCurious, proactive, and comfortable figuring things out independentlyExperience in a lean team, consulting environment, or similarly hands-on setting is highly desirableDatabricks experience is a plusThis is an excellent opportunity for a Data Scientist who wants to stay genuinely hands-on while taking ownership of meaningful business problems and helping build out a growing predictive analytics capability.