Top Remote Data Science Jobs in Detroit, MI

The Data Scientist will work on custom software and machine learning solutions while contributing to alignment research. Responsibilities include managing data science projects, utilizing Python, and collaborating with various stakeholders. Candidates should have problem-solving skills, experience with machine learning APIs, and a comfort with statistical methods. Self-management and autonomous work will be key for success.

As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.

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.

As a Data Scientist at Rentable, you will develop and deploy predictive models, analyze complex datasets using machine learning algorithms, create data visualizations, and collaborate with product and engineering teams to integrate solutions and assess model performance. You will also lead discussions on insights with stakeholders to facilitate decision-making.

The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.

The Revenue Operations Analyst at Rinsed will maintain regular reporting on revenue metrics, analyze data to create dashboards, oversee CRM administration, streamline the deal process, collaborate cross-functionally, and develop training on new system processes. The role requires strong organizational and analytical skills, alongside experience in relevant revenue tools.

The Senior Research Scientist will architect and build pipelines for training models on driving data, develop and optimize prediction models, and mentor junior engineers while collaborating with perception and motion planning teams.