Top Principal Data Scientist Jobs in Chicago, IL
As a Data Scientist Lead Consultant at Arity, you will lead the development of machine learning algorithms using driving and ad platform data. Your role will involve making key technical decisions for implementing models, prototyping solutions, and collaborating with cross-functional teams to optimize the ad platform and enhance revenue.
As a Senior Associate, Data Scientist, you will analyze credit bureau data, develop insights, build machine learning models, and collaborate with cross-functional teams to improve decision-making processes and products. Your role will also involve strategic partnerships and presenting findings to senior leadership.
The Principal Associate, Data Scientist will collaborate with a cross-functional team to develop machine learning models, utilizing a broad technology stack to analyze large datasets and improve business outcomes. Responsibilities include model development, validation, and translating complex data insights into actionable business strategies.
As a Data Scientist at Capital One, you will manage and innovate data solutions using statistical modeling and data analytics to tackle business challenges in the credit card sector. Responsibilities include developing credit bureau data expertise, creating features, analyzing data, and enhancing production infrastructure.
The Lead Data Scientist will lead model development and mentor team members, focusing on customer search and recommendation products while collaborating with business partners to apply advanced data science methodologies and maintain production models.
The Data Scientist role at Morningstar involves implementing AI within data collections software applications, collaborating with stakeholders, automating data collection processes using NLP, and researching new technologies. Requires technical development skills and a passion for investment research.
As a Senior Data Scientist at Grubhub, you will work closely with teams to optimize Merchant recommendations and ads, implement new run time models, design A/B tests, and create performance metrics and documentation. You will mentor junior data scientists and contribute to overall project ownership, focusing on enhancing user experience and analyzing ad and organic content interactions.
As a Senior Data Scientist at TransUnion, you will develop analytic solutions supporting internal and external clients in credit, fraud, and insurance sectors. Responsibilities include leading multiple projects, creating predictive models, conducting descriptive and prescriptive analysis, and delivering insights through presentations. You will work collaboratively with cross-functional teams and provide support for the development of analytic tools using advanced programming skills.
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In this role as a Principal Associate, Data Scientist, you will build machine learning models to prevent application fraud, leverage technologies such as Python and AWS, and collaborate with cross-functional teams to deliver effective solutions for customers.
The Principal Data Scientist will execute analytical initiatives, provide strategic insights, and lead analytics development, focusing on areas such as customer segmentation and machine learning to improve business performance.
The Senior Data Scientist will analyze large datasets to detect fraudulent activities and develop predictive models and algorithms to enhance fraud prevention and detection strategies. Responsibilities include implementing advanced analytics models, analyzing transactional data, and designing real-time monitoring systems to safeguard members.
The Senior Data Scientist at Tovala will develop demand models using Python and statistical techniques, design causal models, and create simulations to support strategic initiatives. Responsibilities include collaborating with cross-functional teams, optimizing models for efficiency, and managing multiple analytics projects to improve decision-making and customer experiences.
The Applied Data Scientist II will engage in end-to-end client project execution, focusing on data modeling, predictive modeling, and insights derivation. Responsibilities include maintaining data workflows, producing client-friendly solutions, and identifying scalable applications within solution delivery processes. Collaborating with diverse teams and ensuring education on cutting-edge techniques are key components of this role.
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