Lead Data Scientist - Search (Applied ML, NLP, LLMs)

Posted 2 Days Ago
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55445, Minneapolis, MN
127K-228K Annually
5-7 Years Experience
eCommerce • Other • Retail
The Role
As a Lead Data Scientist in the Search and Browse Applied Data Science team at Target, you will develop and deploy scalable deep learning models, architect large-scale AI systems, build NLP technology, create data pipelines, conduct data analysis and research, and mentor other engineers. You will contribute to enhancing the search experience for Target's guests and work on cutting-edge machine learning and NLP techniques.
Summary Generated by Built In

The pay range is $126,600.00 - $227,900.00

Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN TARGET AS A LEAD DATA SCIENTIST – SEARCH AND BROWSE

About Us:
As a Fortune 50 company with more than 350,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.
 

Join our global in-house Tech team of more than 5,000 software engineers, applied data scientists, architects and product managers striving to make Target the most convenient, safe and joyful place to shop. We use agile practices and leverage open-source software to adapt and build best-in-class technology for our team members and guests. We do so with a focus on diversity and inclusion, experimentation and continuous learning.
 

The Search and Browse Applied Data Science team builds the core relevance engine and Data Science products that power Target’s Digital experience. As a Lead Data Scientist on this product – you’ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You’ll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You’ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We’ll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems!

In this role at Target as a Lead Data Scientist, you’ll: 

  • Develop and deploy scalable deep learning models to improve the search experience of guests
  • Architect and implement large-scale AI systems using test-driven development practices
  • Build NLP technology for query and document analysis, processing, and understanding
  • Create data pipelines for feature/label extraction and generation
  • Conduct data analysis to identify opportunities and improve models
  • Conduct research to advance the state-of-the-art machine learning and NLP technologies
  • Contributing to the operations/building of AI pipelines
  • Adopting Target's infrastructural platforms and operationalize tools and systems around them
  • Mentor and partner with other engineers to develop software that meets business needs
  • Follow agile methodology for software development and technical documentation
  • Innovate constantly and keep systems up to date with current technologies

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About you: 

  • 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
  • MS/PhD in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
  • Research and/or demonstrated industry experiences in Search Indexing, Information Retrieval, Ranking as well as NLP, LLMs or Recommendation Systems
  • 5+ years of experience in deploying machine learning algorithms into production environments
  • Proficient in Python or Java with excellent coding and problem-solving skills
  • Exceptional hands-on modeling skills using Python
  • Extensive experience in implementing and integrating ML models in production with high traffic and scale
  • Experience querying large databases with SQL, HQL, or some variation
  • Excellent interpersonal and communication skills that can partner with a global team
  • Constant learner mentality that stays on the leading edge of Search/Ranking, ML and NLP advancements

Bonus Points:

  • PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field
  • Proven record of achieving significant engineering (applied ML) or academic research in Search/Ranking
  • Experience with Solr at scale

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [email protected].

Application deadline is : 10/27/2024

Top Skills

Python
R
The Company
HQ: Minneapolis, MN
172,344 Employees
On-site Workplace

What We Do

Target is an American retailing company providing access to a wide selection of products such as furniture, electronics, toys, and more.

Target is one of the world’s most recognized brands and one of America’s leading retailers. We make Target our guests’ preferred shopping destination by offering outstanding value, inspiration, innovation and an exceptional guest experience that no other retailer can deliver. Target is committed to responsible corporate citizenship, ethical business practices, environmental stewardship and generous community support. Since 1946, we have given 5 percent of our profits back to our communities. Our goal is to work as one team to fulfill our unique brand promise to our guests, wherever and whenever they choose to shop.

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