Top Data Science Jobs in Minneapolis, MN
Collaborate on marketing and business problems, develop strategies, test hypotheses, measure success, and shape marketing using data insights. 5+ years of experience in Data Science, proficiency in SQL and another data manipulation programming language, expertise in storytelling with data, and experience with statistical concepts.
Collaborate on product and business problems, apply technical expertise in quantitative analysis, develop strategies, define and test opportunities, measure success of product efforts, shape product development with data, and ensure value creation for Atlassian.
As a Senior Analyst in Revenue Operations at Spring Health, you will be responsible for managing recurring reports, building analytical models, partnering with the Business Intelligence team, and providing actionable recommendations to revenue leadership. Key KPIs include on-time corporate reporting and accuracy in predictive conversion analysis. Expectations include a degree in a related field, 3+ years of experience in operations or analyst roles, familiarity with GTM metrics, and proficiency in constructing analytical models and Salesforce CRM.
As a Senior Data Scientist specializing in Product and Display Ads at Gopuff, you will drive the development of advanced algorithms and models for relevant ad recommendations, set smart bidding and budget for advertisers, and have a direct impact on advertising strategies and campaigns.
Drive the development of advanced algorithms and models for relevant ad recommendations, set smart bidding and budget for advertisers, collaborate with cross-functional teams, analyze complex data sets, stay updated on machine learning advancements, and shape the advertising technology roadmap for both product and display ads.
Senior Data Scientist specializing in Product and Display Ads at Gopuff, responsible for developing advanced algorithms and models for ad recommendations, setting bidding and budget strategies, and impacting advertising success. Collaborate with cross-functional teams to innovate in the AdTech space.
Featured Jobs
Looking for a Data Scientist to work on applying AI, ML, and data analytics techniques to automate digital accessibility use cases. Responsibilities include developing components, measuring confidence scores, designing automated testing, collaborating with engineering, evaluating tools/methodologies, identifying data sources, applying predictive modeling, and ensuring model outputs are ethical and accurate.
Develop standardized data models for accessing real-world data and generate regulatory-grade real-world evidence. Evaluate data sources, ensure data quality and security, and explore new approaches to data capture. Collaborate with stakeholders and develop statistical methods for data analysis.
Lead Data Scientist role at Thyme Care leading a team of data scientists in building and improving data products and operational analytics to enhance patient care. Responsibilities include collaborating with stakeholders, prioritizing deliverables, and guiding the development of data models and pipelines.
Lead team to execute Business Intelligence & Insights projects to uncover trends that can drive long-term business results.
As a Senior Manager, you'll leverage your data science background to drive compliance monitoring data analytics initiatives and ensure compliance with ethical standards and regulatory requirements through advanced data analytics techniques.
As the Senior Data Scientist at Going, you will spearhead the development and implementation of advanced algorithms and models for personalized travel recommendations. You will lead the end-to-end development of machine learning models, optimize data pipelines, and drive continuous innovation in data science capabilities. Collaborating with cross-functional teams, you will translate business requirements into innovative solutions, shaping the future of travel exploration and recommendations.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
Top Companies in Minneapolis–Saint Paul, MN Hiring Data + Analytics Roles
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