Top Data Science Jobs in Minneapolis, MN
The Senior Field Application Scientist will manage customer application needs for genomic analysis, train customers on new processes, provide troubleshooting support, develop workflows, and represent the company at customer sites and scientific conferences.
The EDI Configuration Analyst will support electronic data integration workflows by collaborating cross-functionally to implement streamlined solutions and manage data file exchanges critical for client success. Responsibilities include ensuring timely project execution, leading client training, troubleshooting data sharing issues, and acting as a technical resource.
As a Senior Data Scientist at Phantom, you'll empower teams with data-driven insights, develop metrics to measure product impact, and work collaboratively with various stakeholders to influence product decisions. Your role will focus on analyzing large data sets, experiment design, and supporting the growth of the crypto wallet product.
As a Senior Data Scientist at Demandbase, you will develop and apply machine learning models to enhance B2B marketing efforts. Your role includes working on account ranking, intent prediction, and optimizing campaign performance through various ML algorithms, while collaborating across teams to implement these models effectively.
The Decision Science Analyst IV will leverage data-driven methods to make recommendations, develop BI solutions, and enhance analytics for business transformation. Responsibilities include data enrichment, project collaboration, coding, and communicating insights to non-technical audiences. This senior role requires strong problem-solving and influence within teams to drive results across the organization.
As a Data Scientist at Airtable, you will partner with product teams to drive insights and identify business opportunities, manage experiments, build a data culture, and communicate findings through storytelling and visualizations.
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
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.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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