Top Senior Data Science Jobs in Milwaukee, WI

Design and implement AI agents for autonomous goal management, evaluating alignment with human intent and integrating safety mechanisms while leading AI/ML system development.

The Senior Data Scientist will develop credit risk analytics, build reports and dashboards, ensuring client alignment and data quality while mentoring junior members.

The Data Scientist will design data solutions, analyze datasets, and collaborate with engineers using GCP and various tools to enhance data-driven decision-making.

The Sr. Data Scientist will optimize risk solutions using machine learning and statistical methods, develop models, mentor juniors, and collaborate with stakeholders on credit risk management.

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.

As a Sr Data Scientist at Fiserv, you'll build and support economic indices, develop statistical models, and implement AI/ML solutions.

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.

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

As a Senior Data Scientist, you'll analyze multi-modality health data, develop insights for models and decisions, and collaborate across teams to ensure data is clinically sound and interpretable.

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.

The Senior Data Scientist will lead data science projects, mentor junior staff, and translate business challenges into machine learning solutions, influencing business strategy through data insights.

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.

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.

The role involves leading analytics to optimize customer experience and drive business decisions using advanced analytics and mentoring team members.

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 Senior Data Scientist will analyze datasets, develop predictive models, and collaborate with stakeholders to enhance analytics apps and drive actionable insights.

The Senior Data Scientist will develop business analytics functions, manage data projects, conduct statistical analysis, and collaborate with stakeholders on predictive models and insights.

The Senior Data Scientist will design, develop, and own machine learning systems for document verification focusing on computer vision and deep learning. Responsibilities include technical leadership, engaging with customers, and collaborating with engineering and product teams.

Lead development and deployment of machine learning and analytics products for mortgage lending. Design data pipelines, ensure data quality, build predictive models, communicate insights, mentor junior staff, and partner with engineering and DevOps for scalable MLOps solutions.

Lead development and operationalization of LLM, agentic, and image AI solutions for diagnostics. Build multimodal datasets, implement RAG and agent workflows, apply ML and statistical methods (DoE, Bayesian optimization, causal/survival/longitudinal), analyze RWE/RWD, and integrate insights across clinical, regulatory, and product teams to drive diagnostic and business impact.

Design, build, and deploy end-to-end production ML systems for audience targeting, lookalike generation, and propensity scoring. Own ML lifecycle from experimentation to production monitoring, leverage distributed/cloud platforms, implement vector similarity and embedding systems, engineer scalable features, and collaborate with engineering and product teams to ensure model quality and operational reliability.

The Geospatial Scientist leads data management initiatives, oversees data governance, and ensures quality and compliance of geospatial data for DHS.