Top Senior Level Data & Analytics Jobs in Minneapolis, MN
As a Senior Data Scientist at VRChat, you'll collaborate with cross-functional teams to analyze product features and campaigns, conduct quantitative analyses, and deliver insights to drive strategic product decisions. You'll design metrics, perform root cause analyses, and create data visualizations, while leveraging your experience in data science to influence business outcomes in a remote work environment.
As a Staff Data Scientist at Invoca, you will lead the development and implementation of machine learning models and techniques, focusing on conversation intelligence and optimization for marketing and sales. This includes conducting research, mentoring team members, and creating efficient workflows for data curation while applying generative AI techniques and advanced algorithms.
As a Senior Data Scientist at Amperon, you'll build and deploy advanced machine learning models for time series forecasting in the energy sector. You'll validate data, create forecasting features, and analyze consumption patterns to optimize energy distribution. Your work will directly impact sustainable energy solutions.
The eCommerce Analytics Manager will analyze data to generate actionable insights that drive growth and enhance customer experience. Responsibilities include reporting of key performance indicators, developing data tracking plans, and collaborating with data departments to optimize reporting and address anomalies.
The Data Analyst will oversee machine learning model development, create interactive dashboards, conduct data analysis for insights, and ensure data quality within the MEDCHART system. They will collaborate with stakeholders to meet model requirements and report findings efficiently.
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
As a Risk Analytics Expert, you will lead technical product demonstrations, advise clients on regulatory processes, manage client projects from concept to delivery, and provide insights to the Product team at ZestyAI. Your role is pivotal in translating complex data into intuitive insights for clients in the property and casualty insurance industry.
The Operations and Fraud Analytics Lead will utilize advanced analytics to enhance business operations, develop fraud prevention strategies, and optimize profitability, collaborating with various departments to address complex business challenges and improve operational efficiency.
As a Senior Data Engineer at Apollo.io, you will develop and maintain scalable data pipelines, implement monitoring and data quality processes, and work on data model definitions while collaborating with various business units and engineering teams.
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