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As a Data Scientist at Target, you will be responsible for developing and managing state-of-the-art predictive algorithms using data at scale to automate and optimize decisions. You will work on solutions for Marketing, Supply Chain Optimization, Network Security, and Personalization. Responsibilities include data exploration, algorithm implementation, codebase development, and collaboration with peers in an agile environment. Strong programming skills in Python, R, Java, or Scala are required.
As a Principal Engineer, you will lead the design and delivery of architectural solutions to tackle complex business and technology challenges at Target. You will collaborate with various teams, assess technology viability, manage standards, and focus on scalability and availability of services vital for the merchandising sector.
As a Senior Data Scientist at Target, you'll design, develop, deploy, and maintain data science models and tools to solve retail challenges in the supply chain, ensuring efficient inventory management and fulfillment planning. You'll collaborate with cross-functional teams to understand business needs and enhance operational processes.
As a Senior Human Resource Specialist at Target, you will provide technical and administrative support to the HR team, maintain employee records, and oversee employment orientation and benefits. You will interact with team members at various levels and support staffing needs in compliance with employment regulations.
The Engineer will focus on Microsoft 365 Administration, participating in the administration and support of collaboration products, evaluating modern technologies, preparing system documentation, monitoring systems for performance, and engaging in incident management.
The Sr Product Ops Analyst will create measurements and enhancements for the Order Management System by performing exploratory data analysis, collaborating with teams to identify product issues, build reports, and monitor key product metrics to drive improvements.
As a Sr. Product Manager, you will focus on optimizing solutions across omni-channel fulfillment, collaborating with data science and engineering teams to analyze data and enhance fulfillment products, ultimately reducing costs and improving guest experiences.
As a Lead Data Scientist at Target, you will develop predictive algorithms and models, working with various teams to optimize decision-making processes. You will design and implement algorithmic solutions, conduct data analysis, feature engineering, and ensure high-performance model deployment while mentoring junior team members and collaborating with engineers and business partners.
The engineer will develop and maintain a high-scale order management system using event-based architecture. Responsibilities include delivering robust software components, solving engineering problems, and ensuring code quality through active reviews. The position requires a balance between speed and software robustness while handling operational issues.
As an Engineer in the Technology Leadership Program, you will develop leadership and technology skills, rotate through Target Tech teams, and work on evaluating new technologies, code reviews, and implementing solutions. You will also engage in disaster recovery planning and testing, resolving technical issues, and ensuring best practices are met.
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