Description:
JOIN US AS A SR AI SCIENTIST - RECOMMENDATIONS (Personalization, Math/Stats Modelling, Deep Learning)

Join Target's Artificial Intelligence team where you can help us define and shape what the future of retail looks like. In Target's AI team, the Sr AI Scientist for our Recommendations team will contribute as follows:

• Develop algorithms that personalize the shopping experience for Target's guests on Target.com and the Target app
• Partner with Digital teams (Target.com and mobile) as they build new guest experiences to make shopping at Target easy and inspiring.
• Anticipate future business needs and identify opportunities for complex analysis
• Gather and analyze data to solve and address highly complex business problems and evaluate scenarios to make predictions on future outcomes and support decision making

Use your skills, experience and talents to contribute to groundbreaking thinking and visionary goals. As a Sr AI Scientist, you'll take the lead as you:

• Realize solutions to business problems using data analysis, data mining, and machine learning/deep learning techniques and statistics
• Develop and deploy data-science and technology-based algorithmic solutions to address business needs
• Produce large scale implementations of various machine learning models using multiple rich data sources
• Teach and learn from your high achieving teammates as you collaborate to develop effective AI solutions for Target

Requirements:

• MS or PhD in Computer Science, Math, Statistics, Physics, Economics, Operations Research or equivalent foundational expertise
• 2+ years of developing machine learning and/or statistical models in a production environment
• Strong engineering mindset and exposure to software engineering principles, agile methodologies, data pipeline engineering, distributed systems and ML at scale
• Proficient in Python, R, or Java, Scala
• Experience querying large databases with SQL, HQL or some variation
• Strong collaboration skills and a willingness to both teach and learn from technical and business experts on a global team
• A strong passion for empirical research and for answering hard questions with data
• Excellent written and verbal communication skills

Preferred:

• Experience designing algorithms for a relevance system such as Recommendations or Search/Ranking
• Experience in establishing standards and best practices in the development and production deployment of statistical data models
• Experience using machine learning and/or deep learning frameworks such as Scikit Learn, Tensorflow, Keras, or PyTorch

Why work with us at Target AI?

• We Care, Grown and Win Together!
• You'll work directly on the problems that have the most impact on Target's entire Recommendations/Personalization strategy for all Digital/Target.com products.
• We love open-source! Many of our team members contribute to open source communities and get to do it during work time. We try to contribute back to our communities where we can and are grateful to be able to open source some of our own projects
• We value diversity! We believe that diversity and inclusion are core importance when creating positive experiences for our guests and we think it's critically important when building our teams
• We value our team members! We treat our team members like people, not like cogs in a machine. We value our team members for who they are, not just what they can get done. We are parents, hobbyists, enthusiasts, travelers, family members, community members and can offer flexibility to our team members' schedules/work arrangements so they can flourish both in and outside of work
• Career development and our '50 days of Learning' mantra allow team member to learn from experts, publish, work on patents, grow new skillset as well as mentoring/volunteering

Americans with Disabilities Act (ADA)

Target will provide reasonable accommodations (such as a qualified sign language interpreter or other personal assistance) 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 Distribution Center or reach out to Guest Services at 1-800-440-0680 for additional information.

Qualifications: