Top Remote Data Science Jobs in Louisville, KY

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead design and implementation of safety and alignment architectures for agentic AI systems; develop monitoring, reward modeling, and human-in-the-loop evaluation; partner with cross-functional teams for responsible deployment; publish research; identify and mitigate failure modes and set safety milestones for production readiness.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As a Lead Data Scientist, you'll leverage advanced analytical methods to solve complex business problems, mentor junior team members, and interact with clients while developing innovative solutions through data analysis and modeling.

The role involves leading a team to manage data strategies and analytics for Netflix Games, requiring expertise in data science, business analytics, and team management.

The role involves analyzing biobank datasets using statistical and computational methods, developing machine learning pipelines, and collaborating with scientific teams to advance research in human genomics.

The Senior Data Scientist will lead innovative data science efforts, leveraging advanced analytics, visualization, and insights from complex datasets to boost productivity.

Lead the design and deployment of AI capabilities focusing on LLM solutions and healthcare ontologies, ensuring data governance and compliance.

The Senior Data Scientist will design experiments, analyze data, and drive growth strategy for the Clubhouse app, proactively identifying key questions and opportunities for improvement.

As a Senior Data Scientist, you'll build machine learning models for infrastructure cost prediction, enhance experimentation methods, and collaborate across teams to improve data quality and impact evaluation.

As a Data Scientist, you will improve sponsored search capabilities, analyze data for insights, and implement ranking improvements using machine learning techniques.

Lead development of data structures, analyze health data, create whitepapers, and collaborate with cross-functional teams on clinical research.

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

As a Pricing Data Scientist, you'll develop and validate pricing models for alternative assets, collaborate with engineers, and enhance valuation accuracy through data insights.

As a Senior Data Scientist, you will own data, collaborate with engineers and stakeholders, and build tools for analytics and dashboards to inform business decisions.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Partner with product engineering to design and analyze experiments, apply causal reasoning and statistical modeling to marketplace data, and drive data-informed product decisions across the engineering org.

Lead development and lifecycle of yield-optimization predictive models, integrate models into the recommendation engine, improve model accuracy to drive revenue and conversion, match users to optimal offers, and manage external partner relationships while collaborating across engineering and business teams.

The Data Scientist will develop and maintain models for asset valuation and portfolio management, perform statistical analysis, enhance data capabilities, and work with various teams to solve complex business problems in real estate investment lending.

The Senior Data Scientist will optimize customer onboarding using machine learning and generative AI, developing solutions and collaborating across teams.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

As a Data Scientist II, you will analyze complex data, develop statistical models, and create data visualizations to support internal clients and enhance analytics capabilities. You will collaborate with technical leads and stakeholders, ensuring data quality and accuracy in deliverables.

Seeking a data scientist with strong skills in PySpark and Python to manage the end-to-end data science workflow, focusing on loyalty programs. Responsibilities include data transformation, predictive modeling, and client interaction to derive actionable insights.

The Data Scientist II will develop and improve machine learning models for document verification, engaging in model diagnostics and optimization, and collaborating with cross-functional teams to meet performance requirements.