Top Remote Entry Level Data Science Jobs in Detroit, MI

The Public Safety Data Specialist role focuses on utilizing PDF Handlebars and JSON for document generation, building templates for data exports, providing technical support to customers, and collaborating with public safety professionals to enhance service delivery. It requires excellent customer service skills and a strong technical foundation to bridge the gap between technical solutions and user needs.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.

As a Data Scientist I, you will help the data team by identifying and managing data sources, utilizing Python, SQL, and R for data scraping and visualization. You will automate data processing, develop machine learning tools, collaborate with various teams, and advocate for best practices in data analysis and visualization.

The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.

Oscar is hiring a Senior Manager, Data Science to lead a team of data scientists in leveraging data for enhancing healthcare services. Responsibilities include translating business goals into plans, managing a team, and collaborating with cross-functional teams. The role offers a salary range of $174,400 - $228,900 per year and is based in New York City, Tempe, or Los Angeles with remote options available for residents of specific states.

Join Hims & Hers Analytics and Data Science team to engage in data-driven decision making, improve user experience, and contribute to product development. Collaborate with business leaders, marketers, and product teams to drive analytical insights, and leverage machine learning for innovative solutions across the organization.

The Data Scientist will develop and maintain ETL processes, generate insightful reports from financial data, analyze performance indicators, and collaborate with cross-functional teams to improve financial operations and data quality.