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Embarking on a career at Target Data Sciences offers the opportunity to work with large-scale predictive algorithms, directly impacting strategic areas such as Marketing, Supply Chain Optimization, and Personalization. The team is tasked with building high-performance models and contributing to Target's dynamic culture through retail domain expertise.
A Sr Data Scientist at Target will be influential in developing GenAI features, tools, and services, while also shaping the organizational GenAI capabilities. This includes designing system architectures, developing and evaluating models, and ensuring the quality of GenAI outputs. They will also be required to stay abreast of industry trends, participate in Agile processes, conduct code reviews, and provide documentation for a maintainable codebase.
Additionally, Sr Data Scientists will share insights through training sessions and presentations, aligning technical solutions with business priorities and strategic goals.
Prospective candidates should have a quantitative degree and at least three years of professional or industry experience. Expertise in deep learning, machine learning, statistical models, and strong programming skills in Python and big data technologies like SQL, Hadoop/Hive, and Spark is essential. The role demands excellent analytical thinking, problem-solving skills, and the ability to communicate complex data-driven stories effectively.
Preferred qualifications include an MS or Ph.D. in a quantitative field and experience with GenAI systems and applied ML frameworks.
The position offers a Hybrid/Flex or possibly a Remote work arrangement depending on Target's needs. The role requires onsite presence at the Target HQ in Minnesota and/or virtual work, with remote positions not having a desk at Target locations but possibly requiring travel to HQ.
Target adheres to the ADA, offering reasonable accommodations throughout the application process for those with disabilities. The pay range for the Sr Data Scientist position spans from $93,800 to $168,800 annually.
This job offer was originally published on Jobicy
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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
