Vacancy expired!
Location: 7000 Target Pkwy N, Brooklyn Park, Minnesota, United States, 55445
As a Lead Data Scientist in our Digital and Marketing Core Capabilities team, you will develop machine learning models and algorithms for next-gen capabilities that are cross-cutting to multiple, high impact product areas for Target including Recommendations, Personalization, Search, and Marketing. You will work with business partners, data science product teams, and other data scientists and engineers to gain an understanding of our business needs and technology processes. You will build end-to-end AI/ML solutions to meet those needs, including development, deployment, and maintenance of algorithms and models at the grandest scale!In this role, you'll translate your knowledge of deep learning from the fields of Computer Vision and Natural Language Processing into reusable data science assets that impact millions of Target guests on a daily basis. You will get to work with the latest research and technology as your solutions will drive the next generation of guest experiences and business insights with a diverse, global team.Following are the specific job duties:- Analyze multi-modal data sets to formulate and validate statistical hypotheses and to find patterns and other actionable insights
- Leverage your in-depth understanding of modern neural networks (transfer learning, representation learning, multi-task learning, multimodal learning, metric learning) to design and implement application-specific solutions
- Scale deep learning models to learn from large data sets, work with ML engineers to optimize these models for efficient performance
- Test, validate, and deploy these models on modern computer hardware (GPUs, for example)
- Collaborate with other data scientists and ML engineers to solve high-impact business problems and to create operational efficiencies
- Partner and closely communicate with internal stakeholders and cross-product teams in stitching together end-to-end technical solutions
- Follow agile methodology to build high quality technical products
- Keep abreast with the relevant work and research in the industry as well as in academia
- MS or PhD in Computer Science, Applied Mathematics, Statistics, or equivalent quantitative and foundational expertise
- 5+ years of experience in building and optimizing Machine Learning models to solve complex business problems
- Proficient in Python, R, Java or equivalent programming language
- Extensive hands on experience working with modern Deep Learning frameworks: Tensorflow and PyTorch
- Expert in creating Deep Learning -based NLP and CV models
- Theoretical and practical understanding of modern neural network architectures in transfer learning, representation learning, multi-task learning, multimodal learning, metric learning
- Able to adopt and modify publicly available Deep Neural Network (DNN) architectures for internal application needs
- Demonstrated ability to develop large scale ML models and deploy them to production
- Ability to test, measure, and monitor performance of algorithms - including in production
- Demonstrated experience in working with business teams and in driving value to business through analytical methods
- Able to produce reasonable documents/narrative suggesting actionable insights
- Excellent communication skills. Ability 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/time zones
Vacancy expired!