Lead Data Scientist

2 days ago


Brooklyn Park, Minnesota, United States Target Full time
About the Role

We are seeking a highly skilled Lead Data Scientist to join our Search and Browse team at Target. As a key member of our team, you will be responsible for designing and developing high-quality, scalable data science systems and services that power our digital experience.

As a Lead Data Scientist, you will work closely with business partners to provide solutions for business problems in a fast-paced and global environment. You will have the opportunity to architect data science solutions that capture, process, and mine huge datasets in the retail industry.

We are looking for a talented individual with a strong background in machine learning, natural language processing, and data analysis. You will be responsible for developing and deploying scalable deep learning models to improve the search experience of our guests, as well as building NLP technology for query and document analysis, processing, and understanding.

In this role, you will also conduct data analysis to identify opportunities and improve models, conduct research to advance the state-of-the-art machine learning and NLP technologies, and contribute to the operations/building of AI pipelines.

We are a team that values innovation, collaboration, and continuous learning. If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity.

About You

We are looking for a candidate with a strong background in quantitative disciplines, such as computer science, applied mathematics, statistics, or physics. You should have a minimum of 5 years of experience in deploying machine learning algorithms into production environments, as well as experience querying large databases with SQL, HQL, or some variation.

You should also have excellent interpersonal and communication skills, as well as a constant learner mentality that stays on the leading edge of search/ranking, ML, and NLP advancements.

We are an equal opportunities employer and welcome applications from diverse candidates. If you are interested in this role, please submit your application with your resume and a cover letter explaining why you are the ideal candidate for this position.


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