Top Data Science Jobs in Minneapolis, MN
The Research Scientist will conduct independent research for a News Platform, focusing on quality evaluation of documents and misinformation detection. Responsibilities include collaborating with product managers, designing experiments, analyzing data, and communicating solutions effectively with cross-functional teams. You will benefit from a fast-paced environment promoting meaningful contributions from day one.
As a Data Scientist at BrightAI, you will extract insights from complex datasets using statistical analysis and machine learning. Responsibilities include developing predictive models, visualizing data, collaborating with teams for deployment, and adhering to data governance standards while staying updated with data science advancements.
The Data Scientist at Excella is responsible for using advanced statistical, algorithmic, machine learning, data mining, and visualization techniques to help advance and complete client projects. They must also effectively communicate complex quantitative analyses to management and executive level audiences.
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.
Seeking a Sr. Data Scientist to lead the development of measurement models for marketing stakeholders, conduct in-depth analyses, design experiments, and optimize marketing campaigns. Collaborate with cross-functional teams to achieve marketing goals and enhance marketing measurement capabilities.
As a Data Scientist focusing on AI at Candidly, you will work on designing, developing, and deploying AI-driven features that enhance our financial wellness platform. You will partner closely with the product and engineering teams to create solutions that leverage natural language processing (NLP) to optimize the user experience, improve engagement, and improve operational efficiencies. Responsibilities include product development, NLP, data strategy, model evaluation, research, stakeholder collaboration, and data storytelling.
The Staff LLM Data Scientist will design and fine-tune large language models for various applications, build advanced Retrieval Augmented Generation (RAG) pipelines, and implement evaluation frameworks for model performance. They will deploy models ensuring low latency and reliability, while collaborating with product and engineering teams.
Saviynt is seeking a Sr. Revenue Operations Analyst to drive full funnel accountability across the revenue engine. Responsibilities include optimizing data operations, translating business requirements, providing strategic insights, and enhancing sales enablement. Qualifications include 3-5 years of revenue or sales operations experience, expertise in Salesforce, strong communication and analytical skills.
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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