Top Remote Jobs in Madison, WI

As a Staff Data Scientist for Forecasting, you will develop forecasting algorithms, create data pipelines, mentor team members, and operationalize models for business needs.

The Enterprise Account Executive is responsible for managing enterprise sales motions, building relationships with key decision-makers, and delivering Nominal's testing platform to large technical organizations, focusing on strategic account growth and team development.

The Data Science Actuary role involves building and maintaining rating systems and risk models, conducting analysis for underwriting and operations, and integrating new data sources while collaborating with multiple teams.

The Product Manager will define product strategy, prioritize projects, communicate with stakeholders, and manage multiple teams to deliver impactful software solutions for government missions.

As a Freelance Thumbnail Designer, you will create and execute engaging thumbnail designs for YouTube episodes, incorporating strong visuals and A/B testing to increase click-through rates, while collaborating with marketing teams.

The Operations Manager will oversee supply chain management, coordinate product launches, enhance internal operations, and ensure cross-functional alignment while optimizing processes and tackling challenges in a fast-paced environment.

As a Measurement Success Manager, you'll assist clients in tracking podcast campaign results, set up measurements, and provide training on data performance.

The Account Manager will grow company presence, establish retailer relationships, manage accounts, enhance sales strategies, and provide training and support within the wireless sector.

The AI Solutions Consultant role involves understanding insurance agency operations, creating solutions for enterprise clients, and supporting post-sale implementation, driving customer success and relationship management.

As a Senior Data Analyst, you will translate business requirements into technical data specifications, manipulate large datasets, and support data initiatives while partnering with clients and teams to improve data quality and governance.