Top Python Jobs in Minneapolis, MN

The Data Architect - Director will lead the design and implementation of data architecture strategies, driving innovation and collaborating with stakeholders to meet business needs while ensuring compliance with data governance.

The Cloud Security Engineer secures cloud infrastructure, automates security solutions, and collaborates with teams to integrate security practices. Mentors junior engineers.

The role involves risk assessment of trading models, validation, model development, and maintaining strategic partnerships with stakeholders. Effective communication and leadership in analytics are crucial.

The role involves rotational experience in analytics and data management, focusing on professional development, skill building, and networking within Wells Fargo's analytic community.

Lead Infrastructure Engineer responsible for managing desktop and mobility operations, troubleshooting issues, and optimizing device provisioning and security infrastructure.

Participate in a 10-week Finance Internship, gaining exposure to various finance disciplines, training, and professional development at Wells Fargo.

Manage and lead software engineering teams, improve software development processes, oversee training and technical vitality, and support integration and test efforts.

As an AI & Gen AI Data Scientist, you will use advanced analytics to help clients improve operations, utilizing AI and GenAI models, collaborating on data solutions, and documenting business processes.

Lead automation testing initiatives, mentor junior team members, analyze complex problems, and maintain high professional standards in software testing.

As a Director, you'll lead the development of data solutions using Palantir Foundry, mentoring teams and driving business growth through advanced data engineering.

Wells Fargo seeks a Lead Information Security Engineer to guide teams in deploying and managing cryptographic products, ensuring compliance, and providing technical leadership.

Lead multiple multidisciplinary teams to architect and deliver full-stack AI solutions, ensuring quality control and promoting innovation through emerging technologies.

Lead AI and GenAI projects, manage teams, develop solutions, mentor staff, and ensure quality in data analytics for clients.

The role involves managing test data operations, mentoring teams, ensuring quality in testing processes, and implementing test data management tools.

Lead large data projects, design analytics roadmaps, implement quality controls, and foster relationships with clients and teams to drive success.

Lead and mentor teams to develop and deploy data solutions using Palantir Foundry, ensuring project success and client satisfaction.

Manage client needs in building and documenting AI/GenAI solutions, mentoring team members, and enhancing business process efficiency.

As a Threat Intelligence Senior Consultant, you will lead threat data analysis, develop tactical intelligence, support incident response, and enhance security measures. You will also produce intelligence reports, contextualize findings for stakeholders, and elevate threat intelligence maturity within the organization.

As a Senior Associate in Data Science, you will develop AI/ML systems, lead projects, and mentor others while engaging with clients.

The role involves designing data architecture, implementing data solutions, mentoring team members, and collaborating with stakeholders to convert data requirements into actionable insights.

Lead the AI governance framework development, integrating compliance, risk management, and mentoring junior staff while influencing AI governance practices.

As an RFM AI Governance Manager at PwC, you will implement AI governance frameworks, conduct risk assessments, mentor team members, and manage client accounts while navigating AI's regulatory landscape.

Lead the design and execution of data architecture strategies, mentor team members, enhance cloud resources, and drive innovation in data integration solutions.

Support AI governance frameworks, collaborate on compliance, develop policies and risk assessments, and engage in internal training and AI usage recommendations.

Lead the design and implementation of data architecture strategies while collaborating with stakeholders and ensuring compliance with governance and security protocols.