Data Science Manager Jobs Near Detroit, MI

Communicate and embody the culture, vision and overall direction of the team, and ensure that vision and direction is in support of and driving the vision of the broader Rocket Companies...

Advise clients in global trends relating to data privacy requirements and work collaboratively with them to enhance capabilities. Advise clients in in creating repeatable strategic solutions for the m...

Collaborate with the delivery teams to develop high level storyboards, mockups, and prototypes of Data and Analytics products, to effectively communicate interaction and design ideas...

Effectively translate topics of the broader customer experience domain into actionable goals and tasks.

Responsible for the execution of a portfolio of greenfield projects, ensuring expectations for scope, schedule and budget are met.

Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.

Serve as a liaison between business areas for the purposes of gathering client feedback to develop deeper insights and disseminate information pertaining to the status of product development...

Support the Data Science roadmap, completing activities to maximize the value from XL’s vast fleet data cloud. Apply cutting edge analytical data tools to enhance data usage...

You will be part of a dynamic blend of technologists, strategists, and designers who use technology, data, and science to drive major business innovations th...

You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, K...

Collaborate with engineering, product management, design, research, and data scientists on customer focused solutions.

Independently collects, synthesizes and analyzes data, identifies root cause, and provides summaries and graphical presentations of data illustrating trends with recommended next steps to manager...

Develop account planning templates by market utilizing data that will enable our salespeople to manage their actions and strategies to achieve their sales goals...

Lead the development and execution of digital, data visualizations of our work products for clients. Apply data analytics to drive the management of and readiness for change...

Services may include use of case management system, presenting briefings, collection of data, providing needed materials, and outreach within the community...

Generate queries, reports, exports and other collection data as needed. Assist in managing the area office to ensure compliance with organization policies, procedures, rules, and regulation...

Analyze business user needs, document requirements, design and develop new or modify models (Cognos Analytics Framework Manager or Data Modules) and/or reports, events, scheduled jobs as necessary...

Providing end-user troubleshooting, issue remediation, technology request assistance and escalation management. Monitoring reoccurring issues, system data, process gaps and proactively identifying pot...

Develops and maintains relationships with architects, developers, project teams, vendors, and business experts to ensure data management solutions are considered in and are supporting any relevant dev...

Manage customer relationships from first meeting through (optional) proof of concept as well as after the sale to enable opportunities to expand the company Data footprint...

The Data Engineer is responsible for designing, implementing, deploying, and supporting various data management technologies and architectures.

Perform overall architecture design, performance tuning/cost management, and implementation of Big Data analytical solutions with GCP and/or AWS cloud environments...

Perform overall architecture design, performance tuning/cost management, and implementation of Big Data analytical solutions with GCP and/or AWS cloud environments...

Author, prioritize and manage a roadmap of self-service tools/features for such a data science platform.

Provide, communicate, and support consistent processes among software, requirement, and part release communities.