Top Remote Jobs in Milwaukee, WI

The Automation Team Analyst evaluates workflows to identify automation opportunities, develops AI prompts, and documents workflows to enhance efficiency in operations.

As a Data Analyst, you will create dashboards, analyze data, and ensure data quality while working with the VP of Finance.

Lead fraud detection and mitigation for a conversational BNPL product. Define fraud typologies, own repayment and chargeback analytics, manage fraud KPIs, design operational policies, collaborate on ML models and decisioning workflows, and coordinate SARs and compliance reporting.

Perform on-site layout, quality inspections and progress reporting using XYZ's Atom AR headset. Set/traverse control points with a total station, communicate with clients/contractors, produce inspection reports, process survey data, and prepare/export approved Revit models into HoloSite.

Design and maintain enterprise data architecture and lakehouse solutions. Lead data migration, integration, governance, and BI enablement. Define strategy, implement pipelines, ensure data quality, security, and provide technical leadership and mentoring.

As a Midweight Designer, you will create impactful gaming campaign visuals, develop digital assets, and collaborate with multiple teams to deliver innovative design solutions.

The Data Scientist at GenLogs will build machine-learning systems, analyze large datasets, and collaborate with engineering and product teams to deliver advanced logistics intelligence solutions.

The C&B Supervisor manages payroll and benefits administration, ensuring compliance with labor laws, enhances compensation structures, and improves C&B processes.

ZwitterCo seeks a Senior Sales Engineer to drive sales of innovative membrane solutions, establish client relationships, and work with engineering teams to implement market strategies in water and wastewater applications.

Extract, clean, and transform data from multiple sources; build and optimize dashboards and reports; perform root cause analysis and statistical modeling; collaborate with leaders and Data Engineers to translate business needs; streamline data workflows and perform database migrations and schema mapping.