Top Senior Level Data Science Jobs in Milwaukee, WI

The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.

As a Data Scientist Manager, you will lead projects transforming clients through data, develop data science products, mentor junior team members, and write optimized code while enhancing client relationships and promoting team happiness.

As a Senior Manager of Data Science at Oscar, you will oversee a team of Data Scientists, translating business goals into strategic plans, developing data models, and improving clinical operations by utilizing advanced analytics and statistical methods. You will also ensure compliance with relevant laws while collaborating with various teams.

As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.

As a Staff Engineer in Data Science, you will leverage your extensive experience to implement machine learning solutions, mentor team members, and transform business requirements into technical designs. You will define architecture, develop solutions on cloud platforms, and ensure best practices in code quality and design while collaborating with clients and developers.

The Senior Data Scientist will design, develop, and implement data analytics solutions for agency challenges, using AI and machine learning techniques to drive risk-based decision making and ensure compliance with grant requirements. Responsibilities include stakeholder engagement, data analysis, and presenting insights.

The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.