Job Information
Target Lead Data Scientist - Search (Applied ML, NLP, LLMs) in Brooklyn Park, Minnesota
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 candidate.accommodations@HRHelp.Target.com.
Application deadline is : 10/27/2024