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