Top Data Science Jobs in Milwaukee, WI

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

The role involves establishing metrics for cloud games' quality of experience, analyzing data, and collaborating with engineering teams to enhance performance and drive data-informed decisions.

As a Senior Data Scientist, you'll develop metrics for system availability and reliability, collaborate with engineering teams, and analyze performance issues using data.

The Data Scientist will lead measurement initiatives for ad campaigns at Netflix, focusing on experimentation, modeling, and cross-functional collaboration to drive impactful solutions.

As a Senior Data Scientist, you will leverage machine learning and statistical techniques to solve complex business problems and drive product innovations. You will collaborate with cross-functional teams and analyze data to help shape product strategies and decisions.

As a Data Scientist at Reddit, you will analyze data, develop machine learning models, and collaborate with teams to enhance the advertising platform.

The Data Scientist will build data solutions, analyze datasets, collaborate with engineers, and develop tools for data consumption at Juul Labs.

As a Data Scientist/Machine Learning Engineer, you'll finetune models, improve data quality, add new signals, and push solutions to production.

As a Data Scientist II, you'll analyze data, build predictive models, and collaborate with teams to enhance efficiency and provide insights.

The Staff Data Scientist will lead the design and implementation of machine learning models, drive data-driven decision making, and mentor team members while ensuring high performance and reliability of ML systems.

The Data Scientist will analyze complex datasets, ensuring data correctness while developing insights and automation for investment management.

The Data Scientist role involves analyzing complex datasets, improving analytical codebases, and communicating insights to stakeholders. Responsibilities include data exploration, visualization, and supporting machine learning models.

As a Data Scientist II, you'll provide data-driven insights, ensure data integrity, analyze data, build predictive models, and collaborate with cross-functional teams.

The Data Scientist will analyze complex datasets, build predictive models, and collaborate with multiple teams to drive data-driven solutions that enhance restaurant operations.

The Staff Data Scientist will lead studies using real-world healthcare data to drive drug discovery, collaborating with cross-functional teams and generating patient-centered insights.

The Data Scientist will analyze LLM search data, define core metrics, run experiments, build predictive models, and collaborate with teams to enhance product strategy and marketing effectiveness.

The Data Scientist will develop and maintain models for ratemaking and underwriting, educate stakeholders, and contribute to decision-making processes in the insurance sector.

Drive technical innovation in promotional media measurement by building predictive models, executing experiments, and collaborating with cross-functional teams.

The role involves designing and analyzing experiments for Open Connect, building experimental tooling, delivering insights, and collaborating with cross-functional teams.

The Lead BSA Data Scientist develops advanced models to enhance Bank Secrecy Act compliance and Anti-Money Laundering efforts, leveraging data analytics to detect fraud and improve risk assessment methodologies.

The Senior Data Scientist analyzes complex data to develop predictive models and provides data-driven solutions to enhance sales strategies and operational efficiency.

As a Lead Data Scientist, you'll extract insights from large datasets, develop predictive models, and optimize processes while collaborating with teams.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.