Top Data Science Jobs in Detroit, MI
Create and maintain dashboards, queries, and models to provide insight into the health of IoT products. Conduct exploratory analyses and collaborate with cross-functional teams to improve product performance and customer experience.
This position leads the scientific planning and execution of clinical trials in oncology. Responsibilities include leading clinical trial teams, collaborating on protocol development, and ensuring data quality. Requires strong analytical, communication, and leadership skills.
As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
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Join Arcadia's Analytics team to create high-value analytics for enterprise customers, utilize data models, and collaborate with various teams. Bring healthcare analytic experience and expertise to drive strategic decisions in improving healthcare delivery. Opportunity to work with diverse data sets and transform data for actionable insights.
Responsible for ensuring metrics consistency between operational teams and executive level business reporting. Collaborate on product and business problems, apply quantitative analysis to develop strategies, and measure the success of product efforts.
Develop and test pricing strategies for consumer lending products to optimize profitability. Build reporting pipelines, dashboards, and models to understand customer behavior and price elasticity. Present analyses to business leaders and continuously improve pricing models using machine learning software.
As a Senior Manager, you'll leverage your data science background to drive compliance monitoring data analytics initiatives and ensure compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
Develop predictive models and algorithms to analyze marketing outcomes across multiple channels. Provide analytical support for marketing and advertising campaigns. Work on data prep, model development, deployment, and maintenance to ensure accuracy.
Join the TIDAL Data Science & Analytics team to shape the future of streaming and artist products. Translate business questions into analysis questions, provide data-driven recommendations, lead experiments, and develop KPIs for product success. Remote-friendly role in the United States Eastern Time Zone.
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis with strategic goals, and train statistical and machine learning models. Spot trends, publish insights at scale, and mentor team members.
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