Top Data Science Jobs in Louisville, KY

As a Senior Data Scientist, you'll develop and deploy machine learning solutions for advertising measurement products, collaborating with various teams to enhance capabilities and performance.

As a Data Scientist at InMarket, you'll develop and deploy machine learning solutions for advertising measurement, collaborating with various teams to enhance ROI.

Lead and manage a team of data scientists to leverage insights for business growth, influence decision-making, and foster an inclusive team culture.

The Senior Data Scientist will own investigation and analytics to combat blockchain fraud, developing models and visualizations for law enforcement agencies. Responsibilities include collaborating with engineers, staying updated on blockchain developments, and establishing best practices for data-driven decision-making.

As an Optimization Scientist, you will leverage AI and mathematical modeling to develop and deploy optimization models in collaboration with interdisciplinary teams, ensuring efficiency and scalability for real-world problems.

The Staff Data Scientist will develop machine learning models, collaborate with cross-functional teams, and use analytics to drive business growth and improve credit risk assessment.

The Senior Data Scientist will develop machine learning models, collaborate with cross-functional teams, and help improve credit risk assessments to drive business growth.

The Senior Director of Data Science leads innovative data projects, oversees a team, and ensures best practices in ML/AI to drive business insights across GE HealthCare.

As a Senior Data Engineer, you'll design scalable data pipelines, ensure data quality, collaborate with teams, and build data solutions using various technologies.

Lead Data Scientist responsible for enhancing user experience and product efficiency through data analysis, ML modeling, and collaboration across teams. Mentors others and drives innovation in real-world applications.

The Senior Data Scientist leads projects by implementing data science techniques, mentoring junior team members, and improving client relationships while driving innovation in manufacturing intelligence using Microsoft technologies.

As an Analytics Engineer, you will develop and maintain data pipelines, collaborate across teams to support analytics, and manage data quality.