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트렌딩 기업

트렌딩 기업

채용

채용Target

Senior Data Scientist - AdvancedAI (Python, GenAI, ML Ops)

Target

Senior Data Scientist - AdvancedAI (Python, GenAI, ML Ops)

Target

7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445

·

On-site

·

Full-time

·

3d ago

The pay range is $98,000.00 - $176,000.00

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 US AS A SR DATA SCIENTIST – AdvancedAIAbout us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

As a Sr Data Scientist, you’ll join a Data Science team responsible for initializing and launching AI applications, developing centralized AI tools/services, and building organizational capabilities around AI. Working closely with a team of engineers, you’ll drive optimal scaling and adoption of AI applications, which includes designing and developing scalable AI system architectures, including continuous monitoring and evaluation mechanisms.

Given this is a rapidly evolving space, you will be required to stay up to date with the emerging trends in the industry and leverage your experience and expertise in building Machine Learning / Deep Learning solutions to fine-tune pre-trained AI models when needed. We will expect you to understand Agile principles, follow best-practice software design, participate in code reviews, create a maintainable and well-tested codebase with relevant documentation. At an organizational level, you’ll conduct training sessions, present work to technical and non-technical peers, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.

Core responsibilities of this job are articulated 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
  • 3+ years of experience in end to end, applied data sciences at scale
  • Hands on experience with developing GenAI-based systems
  • Extensive experience developing LLM-powered solutions, agentic workflows, with an eye for building cost- and-quality optimal systems
  • Strong hands-on programming skillset in Python with knowledge of SQL, Hadoop (Hive/Spark)
  • Demonstrated experience designing and developing deep learning as well as machine learning models
  • Strong problem-solving skills; develop creative and innovative solution to help solve real-world business problems using data sciences approaches
  • Able to create documents and narrative suggesting actionable insights
  • Excellent communication skills; able to clearly tell data driven stories through appropriate visualizations, graphs and narratives
  • Self-driven and results oriented; able to meet tight timelines
  • Team player with ability to collaborate effectively across geographies/time zones

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, 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. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

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. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 04/23/2026

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Target 소개

Target

Target

Public

Target Corporation, doing business as Target, is an American retail corporation headquartered in Minneapolis, Minnesota, United States. Target operates retail stores. It is the eighth-largest retailer in the United States and is a component of the S&P 500 Index.

10,001+

직원 수

Minneapolis

본사 위치

$78B

기업 가치

리뷰

3.7

10개 리뷰

워라밸

3.2

보상

2.8

문화

4.1

커리어

3.5

경영진

3.4

68%

친구에게 추천

장점

Friendly coworkers and team environment

Flexible scheduling and hours

Inclusive and diverse workplace culture

단점

Compensation below industry standards

High-paced and demanding work environment

Management and leadership issues

연봉 정보

51개 데이터

Junior/L3

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Director

Junior/L3 · Data Scientist L4

0개 리포트

$106,300

총 연봉

기본급

-

주식

-

보너스

-

$90,355

$122,245

면접 경험

46개 면접

난이도

4.0

/ 5

소요 기간

21-35주

합격률

20%

경험

긍정 65%

보통 21%

부정 14%

면접 과정

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

자주 나오는 질문

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts