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Top Python Jobs in Minneapolis, MN
As a Business Intelligence Engineer II at Chewy, you will design and implement data solutions, develop data architecture and pipelines, automate data extraction and reporting, and provide insights through data visualizations. You will collaborate with multi-functional teams and ensure data quality and governance.
The BI Engineer II will design and implement data models and reports for analytics, gather requirements, and contribute to ongoing metrics and dashboards to drive decisions. Responsibilities include data ingestion, on-line reporting, and troubleshooting for business leaders.
The Network Automation Engineer will automate and manage Cargill's software-defined network infrastructure, primarily focusing on SD-WAN. Key responsibilities include designing and building automation solutions, resolving complex network issues, coaching engineering teams, and developing best practices.
The Senior Network Engineer at Cargill will lead the transformation and deployment of the software-defined network infrastructure. Responsibilities include migrating legacy systems to modern solutions, providing expert leadership in resolving complex networking issues, and mentoring engineering teams.
As a Software Engineer III at Chewy, you will design and build complex systems for cartonization in the supply chain, utilizing AWS services. Responsibilities include guiding team members, implementing software functionality, and ensuring best practices in coding and data security. You'll collaborate with various teams on data needs and continually improve performance metrics.
As a Software Engineer III (AI/ML) at Chewy, you will design and develop large-scale AI models, lead engineering initiatives, and enhance customer service technology through innovative platforms. You will mentor team members and collaborate with various engineering teams to define the technical roadmap.
Design and develop system architectures and maintain labor planning systems for fulfillment operations. Collaborate with data engineers and scientists, ensuring scalability and high performance using cloud infrastructure. Provide mentorship to junior engineers and support operational excellence.
As a Senior Associate Data Scientist at PwC, you will utilize advanced analytics to extract insights from large datasets, develop AI solutions including analytical models, and collaborate with clients to solve complex business problems. Responsibilities include AI architecture design, processing structured and unstructured data, and supporting a global analytics team.
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As a Data Scientist II, you will contribute to the entire data science lifecycle, focusing on data acquisition, analysis, and model development. Your role includes conducting exploratory analyses, constructing features, and building machine learning models while collaborating with cross-functional teams to deliver data-driven insights.
The Instock Manager at Chewy is responsible for planning and executing inventory forecasting and purchasing, enhancing supply planning strategies, analyzing data for actionable insights, and managing vendor relationships to improve metrics such as Instock rates and forecasting accuracy.
As a Senior Software Engineer, you'll enhance the Falcon Fusion product by building fault-tolerant Golang microservices, managing high-volume Kafka event pipelines, and supporting system reliability and performance. You'll work on cross-team initiatives, troubleshoot production issues, and leverage your expertise in backend development and distributed systems.
The Digital Contact & Services Manager will lead a team focused on developing AI and Conversational AI solutions to enhance customer engagement. Responsibilities include managing the AI development lifecycle, collaborating with stakeholders, and utilizing data analytics to inform decision-making and improve business strategies.
As a Senior Associate Data Architect at PwC, you'll design and develop data solutions, leading implementations of data architecture strategies and collaborating with stakeholders. Responsibilities include creating data pipelines, ensuring data governance, and leveraging cloud technologies while providing thought leadership on data strategy.
As a Senior Manager Data Architect at PwC, you will lead the design of data solutions, develop data pipelines, and ensure data architecture compliance while coaching teams and collaborating with stakeholders. You'll leverage cloud platforms to implement scalable data solutions and optimize architectures for performance and cost.
The Senior Manager in Data & Analytics at PwC will lead technology workstreams to design and develop robust data solutions. Responsibilities include creating data infrastructure, implementing data pipelines, coaching teams, managing client relationships, and ensuring data quality and compliance. The role demands strong leadership skills and deep technical expertise in various cloud technologies, alongside a commitment to delivering strategic results for clients.
Lead large software development projects while innovating and refining processes. Maintain senior client interactions for project success and mentor domain specialists. Utilize advanced tools and frameworks to assure operational excellence and drive strategic insights.
As an AI & GenAI Data Scientist at PwC, you'll leverage advanced technologies to develop data solutions, conduct statistical analyses, create data visualizations, and build predictive models to solve complex business problems. You will collaborate with clients to understand their needs and deliver valuable insights.
As an AI & GenAI Data Scientist-Manager at PwC, you'll leverage advanced analytics techniques to drive insights from large datasets. Responsibilities include managing development teams to build AI solutions, collaborating with clients on their business problems, designing AI architectures, and ensuring high-quality deliverables. Leadership and mentorship are key aspects of the role, focused on motivating team members and upholding professional standards.
As an R&D Intern, you will collaborate with the analytics team on product development by preparing and analyzing data, designing solutions, and producing technical documentation while gaining hands-on experience in revenue optimization.
As a Software Engineer in Test Intern at IDeaS, you will engage in the software development lifecycle, work on automation frameworks, and enhance the testing of diverse applications while collaborating with global teams. You'll gain skills in agile methodologies and contribute to designing solutions for clients.
As a Cloud Ops Intern, you will learn and support cloud-based solutions, assist in the deployment of services, and maintain documentation. Responsibilities include working with AWS services, developing Terraform modules, and supporting teams with cloud environments.
As a Technical Product Manager at IDeaS, you will drive the development and success of analytics software products, collaborate with cross-functional teams, translate customer needs into technical requirements, and oversee the product lifecycle. Responsibilities include leading engineering teams, managing project timelines, creating technical documentation, and supporting software development teams.
The Controls Systems Engineer will support automation initiatives focusing on system design, architecture, and integration, optimizing production and business systems. Responsibilities include managing databases and networks, developing software solutions using SQL and Python, and overseeing PLC programming and SCADA systems.
The Senior SDET Quality Engineer will lead testing strategy and implementation, manage test execution, and mentor team members. Responsibilities include designing and automating test cases, collaborating with various teams to enhance testing processes, and ensuring seamless integration of test cases into the automation framework.
The Software Engineer Intern will participate in designing, coding, testing, and maintaining software applications. Interns will work collaboratively in a team environment, engage in debugging and technical challenges, and apply their programming skills in a supportive and educational setting to grow in their software development practice.
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