Top Remote Data & Analytics Jobs in Minneapolis, MN
The Staff Applied Research Scientist will lead the implementation of research processes, oversee experiments, mentor team members, and help design the company's research roadmap, focusing on deep learning applications for media creation and editing.
The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and developing predictive models. The role involves analyzing data to reduce drug spend, increase medication safety, and maximize staff productivity in hospital pharmacies.
The VP, Data Analytics will lead a centralized data analytics team, fostering collaboration across departments to establish data integrity and analytics excellence. Responsibilities include overseeing Analytics Engineering, Product Analytics, Business Intelligence, and Data Science functions, driving data-driven decision-making, and building an inclusive culture.
The Mixed Methods Research Analyst will support market research and message testing efforts by conducting qualitative and quantitative research. Responsibilities include developing surveys, analyzing data, conducting literature reviews, interpreting results, and preparing reports. The role requires collaboration with team members and managing multiple projects under tight deadlines.
Bluesight is seeking a Manager of Data Science & Analytics to lead a team in providing intelligence to product teams, building data products, and creating predictive models to enhance medication management for healthcare providers. The role involves hands-on work with algorithms, data quality, automating reporting, and coaching the data science team. The candidate should have experience in data science, machine learning, visualization, SQL, AWS ML technologies, and data lakehouse architecture.
As an Automation Engineer, you will develop tools to help automate tasks, build proof-of-concept AI workflows, create a reusable component library, and optimize CI/CD pipelines while ensuring high uptime for automation APIs.
Smarsh is seeking a Data Scientist who will analyze unstructured communication data to provide solutions for customers. The role involves developing machine learning models, conducting exploratory data analysis, and collaborating with various stakeholders to address data needs. The candidate should possess solid statistical knowledge and familiarity with data science principles and tools.
The Research Associate will be responsible for data-driven research and analysis, SQL-driven granular analysis, new product development, customer relationships, and product marketing. The role requires 2+ years of experience in equity research or management consulting-styled writing, a background in business analysis, and a passion for data-driven fundamental investing.
Top Remote Companies in Minneapolis, MN Hiring Data + Analytics Roles
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