Description: The pay range is $93,800.00 - $168,800.00
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 - GENERATIVE AI About 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.
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
Every Data Scientist on Target's Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, to elevate Target's culture, and apply retail domain knowledge.
As a Sr Data Scientist, you'll join a Data Science team responsible for initializing and helping launch GenAI features, developing centralized GenAI tools/services, and building organizational capabilities around GenAI. Working closely with a team of product engineers, you'll facilitate optimal scaling and adoption of GenAI features, which includes designing and developing at-scale GenAI system architectures, prompt engine development, creating optimal model selection strategy, continuous monitoring & evaluation mechanisms, etc. Based on your understanding of GenAI tools and business requirements, you'll help develop centralized tools and services to evaluate and control GenAI model output quality across the enterprise. 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 GenAI 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 professional experience or equivalent industry experience
- Experience designing and developing deep learning, machine learning, optimization and statistical models
- Strong hands-on programming skills in Python. Knowledge of SQL, Hadoop/Hive, Spark, and/or Scala
- Good working knowledge of mathematical and statistical concepts, algorithms and computational complexity
- Excellent analytical thinking skills
- 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
- Strong team player with ability to collaborate effectively across geographies
- MS or PhD in a quantitative field
- Experience with developing GenAI-based systems
- Demonstrated experience in applied ML and deep learning frameworks
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.
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)
Target will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please visit your nearest Target store or Supply Chain Facility or reach out to Guest Services at 1-800-440-0680 for additional information.
Application deadline is : 04/28/2024