Senior Data Scientist
Harnham · Chicago, Illinois, United States
FULL TIME
Job Description
SENIOR DATA SCIENTIST, PREDICTIVE ANALYTICSAdvanced Analytics & Machine LearningChicago, IL | Hybrid, 3 Days OnsiteUp to $170,000 Base + Bonus
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
THE COMPANYJoin a globally recognized organization at an exciting point in the evolution of its data and analytics capabilities.The business is making significant investments in how it uses data, moving beyond traditional reporting toward more sophisticated predictive analytics and data-driven decision-making across the organization.You will join a lean, highly collaborative analytics team where you can have genuine influence. Rather than becoming one Data Scientist within a large, rigid function, you'll have the opportunity to own meaningful problems, work closely with senior stakeholders, and help shape how data science is applied across the business.
THE OPPORTUNITYThis is a role for a Data Scientist who wants to do more than optimize an existing model or own one small piece of a larger pipeline.You'll take complex, often ambiguous business problems and turn them into analytical solutions from the ground up.That means understanding the underlying business challenge, finding and preparing the right data, determining the appropriate modeling approach, building and evaluating predictive models, and ultimately translating your findings into recommendations the business can act on.Your initial work will span areas including forecasting, market analysis, profitability, and predictive decision-making, with significant scope to identify and develop entirely new data science use cases as the capability grows.
WHAT YOU'LL DOOwn high-impact data science projects from initial business question through modeling, analysis, and delivery xzbcwsv Work directly with stakeholders to understand complex problems and translate them into practical analytical solutionsBuild predictive and statistical models using Python and SQLApply techniques including regression, classification, forecasting, clustering, and feature engineeringExplore, clean, validate, and transform complex datasets rather than relying on perfectly prepared dataDetermine the right analytical or modeling approach for each problem rather than simply applying predefined methodologiesEvaluate model performance and translate technical findings into clear b
The information below covers the role requirements, expected candidate experience, and accompanying qualifications.
THE COMPANYJoin a globally recognized organization at an exciting point in the evolution of its data and analytics capabilities.The business is making significant investments in how it uses data, moving beyond traditional reporting toward more sophisticated predictive analytics and data-driven decision-making across the organization.You will join a lean, highly collaborative analytics team where you can have genuine influence. Rather than becoming one Data Scientist within a large, rigid function, you'll have the opportunity to own meaningful problems, work closely with senior stakeholders, and help shape how data science is applied across the business.
THE OPPORTUNITYThis is a role for a Data Scientist who wants to do more than optimize an existing model or own one small piece of a larger pipeline.You'll take complex, often ambiguous business problems and turn them into analytical solutions from the ground up.That means understanding the underlying business challenge, finding and preparing the right data, determining the appropriate modeling approach, building and evaluating predictive models, and ultimately translating your findings into recommendations the business can act on.Your initial work will span areas including forecasting, market analysis, profitability, and predictive decision-making, with significant scope to identify and develop entirely new data science use cases as the capability grows.
WHAT YOU'LL DOOwn high-impact data science projects from initial business question through modeling, analysis, and delivery xzbcwsv Work directly with stakeholders to understand complex problems and translate them into practical analytical solutionsBuild predictive and statistical models using Python and SQLApply techniques including regression, classification, forecasting, clustering, and feature engineeringExplore, clean, validate, and transform complex datasets rather than relying on perfectly prepared dataDetermine the right analytical or modeling approach for each problem rather than simply applying predefined methodologiesEvaluate model performance and translate technical findings into clear b
Details
| Company | Harnham |
| Location | Chicago, Illinois, United States |
| Type | FULL TIME |
| Niche | finance |