The pay range is $126,600.00 - $273,500.00

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.
 

Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, develop talent by creating growth opportunities and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value and how we work. It’s how we care, grow, and win together. Every time a guest enters a Target store or browses Target.com, they experience the impact of Target’s investments in technology and innovation. We’re the technologists behind one of the most loved retail brands, delivering joy to millions of our guests, team members, and communities. 
 
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

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs.  A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year.  A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

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 : 08/28/2024