Data Scientist

• Coach, mentor, and manage a world-class team of Partner Development Managers
• Own and execute a forward-thinking partner strategy focused on innovative ISVs and Data Providers
• Build deep relationships with Snowflake’s sales teams and drive joint sales initiatives
• Collaborate cross-functionally with Product, Industry GTM, Marketing, Operations, and Sales teams
• Track team performance, partner success metrics, and customer impact

Manager, Data Cloud Partners – Manufacturing

• Act as the enterprise lead for master data management, defining and enforcing data governance, standards, ownership, and lifecycle management
• Perform hands-on master data maintenance, ensuring accuracy, consistency, and timeliness of core data domains
• Maintain sales pricing master data, including price lists, discounts, and related commercial configurations
• Use tools such as Vince to design workflows and efficiently extract, update, and validate master data at scale
• Collaborate closely with business functions (e.g., Sales, Service, Pricing, Supply Chain, Manufacturing, Procurement, Finance) to align master data with business needs
• Monitor and improve data quality, resolve master data issues, and prevent recurring data problems
• Support audit and control requirements by ensuring traceability, documentation, and compliant master data processes
• Drive continuous improvement of master data processes, tooling, and documentation.

Master Data Manager

• You'll own the research that helps define our AI Shopping roadmap
• Helping shape how we measure a brand's AI Shopping capability
• Optimizing for the best outcomes
• Designing the studies, building the models, publishing the findings
• Sitting with customers to show them what the data means for their business

Senior Data Scientist, AI Search / AEO Research

• Independently identify, analyze, and interpret patterns in our data using the appropriate technique for the situation, ranging from simple data aggregation to state-of-the-art machine learning (ML) methods.
• Understand our business processes and data so we can develop custom models that inform business decisions.
• Ensure our models are explainable to build confidence in our results and stakeholder trust, leveraging both statistical methods and advancements in explainable ML/AI.
• Lead in the development of processes and tools to monitor and analyze model performance and data accuracy.
• Collaborate with stakeholders and data partners to define data requirements needed to support the business processes, translate insights, and facilitate decision making.
• Act as the source of unbiased data-supported insights to the organization; confidently challenge norms when novel insights are discovered.
• Leads the mentorship and supports data scientists.
• Leads project subject matter experts in the evaluation of current business processes and identification of current weaknesses or inefficiencies.

Senior Data Scientist

• Responsible for mining big data, interpreting and analyzing complex data sets
• Develops and deploys predictive models to analyze company performance and improve customer experiences
• Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
• Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

• Own retailer onboarding from kickoff through go-live.
• Manage weekly scan data submission health across the full retailer base.
• Serve as the primary point of contact for all retailer and CPG partner communications.
• Publish the weekly health dashboard for program performance.
• Coordinate with Scan Data Engineering to ensure technical setup and test submissions are completed.
• Monitor each submission cycle and communicate directly with retailers on action items.

Data Programs Manager

• Lead complex initiatives related to business analysis, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and monthly loss forecast for Risk Analytics.
• Collaborate with stakeholders and business partners to identify requirements, drive process and technology improvements, and ensure compliance with Finance and Risk governance frameworks, controls, and documentation requirements
• Support end-to-end implementation activities, including test planning and execution, documentation updates, stakeholder support, issue resolution, and post-implementation operational readiness.
• Review and analyze data to provide results specific to businesses supported.
• Make decisions in complex product strategies and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives.
• Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analytics goals.
• Lead projects, teams, and mentor.

Lead Risk Analytics Consultant – Corporate Credit Risk Oversight, Allowance

• Lead analytics with AAD’s largest end users
• Develop analytics dashboards and data structures
• Work collaboratively with internal and external customers in support of the RepairStack™ platform
• Collaborate with internal and external stakeholders in analytics & visualization development/enhancement
• Improve & standardize data management and data collection processes in support of analytics & visualizations
• Troubleshoot and resolve issues by working directly with customers, third‑party partners, and internal teams
• Build robust documentation in support of analytics and reporting structures
• Support alignment of key financial accruals tied to CIP rebates to ensure financial accuracy and compliance.

Performance Analytics Lead

• Architect and deliver enterprise AI/ML solutions
• Lead strategic initiatives and mentorship
• Collaborate with product and engineering teams

• Advise line of business and companywide functions on business strategies based on research of performance metrics, trends in population distributions, and other complex data analysis to maximize profits and asset growth, and minimize operating losses within risk and other operating standards
• Provide influence and leadership in the identification of new tools and methods to analyze data
• Ensure adherence to compliance and legal regulations and policies on all projects managed
• Provide updates on project logs, monthly budget forecasts, monthly newsletters, and operations reviews
• Assist managers in building quarterly and annual plans and forecast future market research needs for business partners supported
• Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to resolve issues and achieve goals
• Lead projects, teams, or serve as a peer mentor to staff, interns and external contractors

Lead Analytics Consultant

• Work on multidisciplinary teams of data engineers, software engineers, data scientists and business subject matter experts to deliver complex projects on time and within budgets.
• Translate ambiguous and complex business problems into project charters clearly identifying technical risks and project scope.
• Take ownership for the entire data science workflow that includes a well-defined, complex project scope, exploratory data analysis, model development, deployment and monitoring.
• Continuously seek out best practices and develop skills.
• Create scalable structures to accelerate deployment to multiple facilities.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
• Other duties as assigned.

Senior Data Scientist – Research and Development

• Analyze large, complex datasets to identify trends, risks, and opportunities related to customer coverage, banker capacity, and client outcomes.
• Design repeatable analytical frameworks to support strategic initiatives, governance reviews, and leadership reporting.
• Ensure analytical outputs are accurate, auditable, and aligned with enterprise data and governance standards.
• Execute highly complex analytical experiments and create innovative statistical models to discover solutions for abstract business problems across various domains.
• Partner with sales leadership teams to inform placement strategy and customer alignment decisions.
• Support enterprise initiatives related to customer assignment, servicing models, and coverage optimization.
• Translate analytical findings into clear business recommendations, highlighting tradeoffs and implications.
• Build executive‑ready presentations (PowerPoint and verbal) for senior leaders, including SVPs and executive committees.
• Clearly communicate complex analytical concepts to non‑technical audiences using data storytelling and visualizations.
• Respond to ad‑hoc leadership requests with concise, high‑impact analyses and recommendations.
• Collaborate with cross‑functional partners (Analytics, Banking, Risk, Operations, Technology).
• Support governance processes by ensuring analytical outputs meet internal standards and documentation requirements.
• Act as a trusted analytics advisor to stakeholders across the organization.

Senior Lead Data Science Consultant

• Lead and develop a team of product owners and product analysts (individual contributors), driving execution, accountability, and continuous improvement.
• Own product strategy and delivery across a portfolio of data and digital products.
• Translate business, analytics, and regulatory needs into clear priorities and roadmaps.
• Lead the consumer data domain teams in uplifting their data assets to be Agentic-ready with common patterns, best practices, and data management standards.
• Partner with senior stakeholders across technology, analytics, governance, and lines of business.
• Communicate product direction, progress, and value to executive audiences.
• Identify and recommend opportunities for data product roadmaps and data enablement solutions that impact multiple data domains and platforms, ensuring compliance with data governance and standards.
• Determine appropriate strategy and actions of data product team to meet moderate to high-risk deliverables that drive the enablement of data availability for data intelligence, analytics, and reporting; interpret and develop policies and procedures for functions with moderate complexity within scope of data product responsibility.
• Collaborate with and influence all levels of professionals, including senior managers, business, risk partners, and technical professionals within Enterprise Data Management and Technology.
• Provide recommendations on best practices, methods, and tools to support and design innovative data products enabling data availability for data intelligence, analytics, and reporting.
• Act as a catalyst to socialize capabilities, features, use case studies, and other relevant artifacts to advance the value of data enablement and productization across the enterprise.
• Manage allocation of people and financial resources to ensure commitments are met and align with strategic objectives in aligned department or business group.
• Develop and guide a culture of talent development to meet business objectives and strategy.

Senior Data Product Manager

• Independently perform tasks to support the development of analytical solutions
• Develop domain and business knowledge to build statistical models.
• Communicate analysis, insights, and results to manager, peers, and working team.
• Assist or mentor less experienced analytic talent.
• Perform other duties as assigned.

Sr. Associate Data Scientist – Data Science Leadership Development Program

• Assisting to design, develop and program methods, processes, and systems to consolidate and analyze unstructured and structured data sources
• Providing recommendations on projects that deal with data science related concepts
• Designing and building statistical models, analyses at the right level of complexity to produce relevant results for the business
• Identifying, integrating and structuring complex data flows
• Validating, manipulating and performing data analysis tasks
• Providing qualitative and quantitative data support to ensure accuracy of metrics
• Performing other duties as assigned

Data Science Leadership Development Program Intern

• Perform tasks to support the development of analytical solutions following defined processes.
• Learn domain and business knowledge to perform assigned steps to build statistical models.
• Communicate analysis, insights, and results to manager and working team.
• Develop your understanding of key business areas (e.g., product, enterprise, industry, claim process and competitors) that enable project work.
• Perform other duties as assigned.

Data Scientist – Leadership Development Program Associate

• The program is multi-faceted and offers a business insights & analytics and business development curriculum focused on analytics, insurance, strategy, leading self and influencing others.
• Other program components include formal mentoring, networking, and career guidance.
• Please note that occasional travel for business meetings and events is an expectation of program participants.
• Participants could be placed in one of the following rotations: Business Performance Analytics, Data Engineering, Business Insights Delivery, Data Management, Decision Science.
• Answer business questions, test hypotheses, and assess impacts/results through diagnostic analysis and active monitoring.

Business Insights & Analytics Leadership Development Program Participant

• Lead the design and evolution of reusable data product accelerators, reference architectures, and integration patterns across platforms such as Snowflake, Databricks, and Power Platform.
• Serve as a senior technical and product advisor to delivery teams adopting enterprise data platforms and tools.
• Identify recurring friction points in data product delivery and design scalable solutions that remove those barriers.
• Partner with platform, architecture, and governance teams to evaluate, test, and validate data and analytics tools.
• Lead proofs of concept and comparative assessments to inform tool rationalization and standardization decisions.
• Translate platform capabilities into clear adoption pathways, playbooks, and usage guidance for teams.
• Apply product thinking to data and analytics capabilities, ensuring solutions are designed for usability, adoption, and measurable impact.
• Define success metrics for accelerators and enablement efforts, tracking adoption, reuse, and productivity gains.
• Continuously refine assets based on feedback, usage data, and evolving enterprise needs.
• Work closely with data engineers, analytics engineers, architects, data product owners, and governance partners to align solutions with enterprise data strategy.
• Act as a connector across teams, ensuring consistency while respecting domain specific needs.
• Influence engineering and product standards through credibility, hands on expertise, and demonstrated results.
• Evaluating, testing, and experimenting with emerging data and AI tools, platforms, and services.
• Documenting project outcomes, transition plans, adoption guides, and solution usage scripts to support enterprise rollout.

Senior Data Product Accelerator Lead – Data Innovation, Tools

• Advise clients on end-to-end solutions across data strategy, data management, and data quality.
• Support business development, methodology development, team leadership, and delivery execution for data governance assessments and implementations.
• Design and develop data governance technology solutions across data quality, data dictionaries, business glossaries, data standards, and data policies.
• Define organizational design, governance processes, policies, roles, responsibilities, success metrics, and operating models for client data programs.
• Build roadmaps covering technology, culture, governance, processes, skills, competencies, data quality, analytics, and data management maturity.
• Lead and collaborate with data governance teams to create business cases, resource plans, implementation roadmaps, and enterprise data system assessments.
• Assess current-state environments, identify client pain points and requirements, and help define a practical vision and strategy for becoming a data-driven organization.
• Advise clients as a trusted partner and provide thought leadership on data governance, data management, cloud transformation, AI readiness, and related best practices.
• Manage resources, budgets, project delivery, team development, training, mentoring, and performance assessment.

Data Strategy and Governance Manager

• Responsible for big data/analytics projects that gather and integrate large volumes of data
• Specializes in developing and programming methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate insights and solutions for client services and product enhancement
• Acquires data from multiple data sources to perform analysis
• Implements and validates predictive models as well as create and maintain statistical models with a focus on big data
• Identifies, analyzes and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action
• Interprets data and analyzes results using various advanced statistical techniques and tools
• Presents data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations and make data driven decisions
• Collaborates with various partners to prioritize requests/needs and provide a holistic view of the analysis
• Measures and monitors results of applied recommendations and present adjustments
• Ensures all data acquisition, sharing and results of applied recommendations are compliant with company standards

Data Scientist jobs in Minnesota

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Manager, Data Cloud Partners – Manufacturing

Master Data Manager

Senior Data Scientist, AI Search / AEO Research

Senior Data Scientist

Data Scientist

Data Programs Manager

Lead Risk Analytics Consultant – Corporate Credit Risk Oversight, Allowance

Performance Analytics Lead

Senior Data Scientist

Lead Analytics Consultant

Senior Data Scientist – Research and Development

Senior Lead Data Science Consultant

Senior Data Product Manager

Sr. Associate Data Scientist – Data Science Leadership Development Program

Data Science Leadership Development Program Intern

Data Scientist – Leadership Development Program Associate

Business Insights & Analytics Leadership Development Program Participant

Senior Data Product Accelerator Lead – Data Innovation, Tools

Data Strategy and Governance Manager

Senior Data Scientist