**Experienced Full Stack Data Scientist – Web & Cloud Application Development for Target's Information Sciences Team**

**Job Summary:** Join Target's Information Sciences team as an Experienced Full Stack Data Scientist and contribute to the development of cutting-edge predictive models that utilize data at scale to automate and streamline business decisions. As a key member of our team, you will work on creating and deploying GenAI features, building unified GenAI tools and services, and establishing organizational capabilities around GenAI. With a focus on scalability and adoption, you will design and develop at-scale GenAI framework structures, brief motor development, and model choice procedures. If you have a passion for data science, AI, and machine learning, and are eager to work on high-impact projects, we encourage you to apply for this exciting opportunity. **About Us:** Target is a leading retail company that is committed to making a positive impact on our customers, communities, and employees. Our Information Sciences team is at the forefront of using data and analytics to drive business decisions and improve customer experiences. As a member of our team, you will have the opportunity to work on a wide range of projects, from developing predictive models to building data-driven applications. Our team is passionate about using data science and AI to drive business growth and improve customer satisfaction. **Key Responsibilities:** As an Experienced Full Stack Data Scientist, you will be responsible for: * Developing and deploying GenAI features, including designing and developing at-scale GenAI framework structures, brief motor development, and model choice procedures * Building unified GenAI tools and services to assess and control GenAI model result quality across the organization * Collaborating with cross-functional teams to design and develop data-driven applications and predictive models * Developing and maintaining high-quality code, including participating in code reviews and ensuring adherence to best-practice programming standards * Communicating complex technical concepts to both technical and non-technical stakeholders, including presenting work to senior leadership and other teams * Staying up-to-date with emerging trends and technologies in the field of AI and machine learning, and applying this knowledge to develop innovative solutions * Working closely with data engineers and other stakeholders to design and develop data pipelines and architectures * Collaborating with business stakeholders to understand business needs and develop data-driven solutions to meet those needs **Essential Qualifications:** * 3-year degree in a quantitative field (Science, Engineering, Mathematics, or Statistics) or equivalent experience * 3 years of professional experience in data science, AI, or a related field * Experience developing and deploying predictive models, including deep learning and AI models * Strong programming skills in Python, with knowledge of SQL, Hadoop/Hive, Flash, and Scala * Excellent understanding of numerical and statistical concepts, including calculations and computational complexity * Strong analytical and problem-solving skills, with the ability to develop creative and innovative solutions to complex business problems * Excellent communication and presentation skills, with the ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders * Self-motivated and results-driven, with the ability to meet tight deadlines and work effectively in a fast-paced environment **Preferred Qualifications:** * MS or PhD in a quantitative field * Experience with creating GenAI-based frameworks * Demonstrated expertise in applied ML and deep learning systems * Experience working with cloud-based technologies, including AWS or Azure **Skills and Competencies:** * Strong programming skills in Python, with knowledge of SQL, Hadoop/Hive, Flash, and Scala * Excellent understanding of numerical and statistical concepts, including calculations and computational complexity * Strong analytical and problem-solving skills, with the ability to develop creative and innovative solutions to complex business problems * Excellent communication and presentation skills, with the ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders * Self-motivated and results-driven, with the ability to meet tight deadlines and work effectively in a fast-paced environment * Strong collaboration and teamwork skills, with the ability to work effectively with cross-functional teams * Excellent problem-solving skills, with the ability to identify and resolve complex technical issues * Strong understanding of cloud-based technologies, including AWS or Azure **Career Growth Opportunities and Learning Benefits:** As a member of our team, you will have the opportunity to work on a wide range of projects and develop your skills in data science, AI, and machine learning. We offer a range of training and development programs to help you grow your career, including: * Opportunities to attend industry conferences and events * Access to online training and development resources * Mentorship and coaching from experienced team members * Opportunities to work on high-impact projects and contribute to the development of new technologies and solutions **Work Environment and Company Culture:** Our team is passionate about using data science and AI to drive business growth and improve customer satisfaction. We are a collaborative and dynamic team that values innovation, creativity, and teamwork. Our work environment is fast-paced and challenging, with a focus on delivering high-quality results and meeting tight deadlines. **Compensation, Perks, and Benefits:** We offer a competitive salary and benefits package, including: * Salary: $32/hour * Benefits: Medical, dental, and vision insurance, 401(k) matching, and paid time off * Perks: Flexible work arrangements, on-site fitness center, and access to company events and activities **How to Apply:** If you are a motivated and talented data scientist with a passion for AI and machine learning, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We look forward to hearing from you! Apply for this job