Data Scientist

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview About TII

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering 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, Network Security and Personalization rely on.

Team Overview

A role with Item Science means the chance to help develop and manage state of the art GenAI, Computer Vision, NLP and ML algorithms . You’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Mech/item Digital etc rely on.Every 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 Data Scientist, you’ll Influence by interacting within the Data Sciences team, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences’ and Target’s culture by modeling the culture. You’ll get the opportunity to use your expertise in one or more of the following areas: machine learning, probability theory & statistics, Deep Learning, GenAI, Natural Language processing or computer vision.. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding.

About You

• 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
• Solid foundations in math and programming
• Strong fundamentals in Probability, Statistics, Linear Algebra
• Strong analytical thinking skills with an ability to creatively solve business problems, innovating new approaches where required
• Strong hands-on programming skills in Python, SQL, Hadoop/Hive, ML engineering.
• Good working knowledge of deep learning, Computer vision, GenAI , ML
• Passion for solving interesting and relevant real-world problems using a data science approach
• Able to produce reasonable documents/narrative suggesting actionable insights
• Excellent communication skills and ability to clearly tell data driven stories through appropriate visualizations, graphs and narratives
• Self-driven and results oriented
• Strong team player with ability to collaborate effectively across geographies/time zones
  
  

Know More About Us Here

• Life at Target- https://india.target.com/
• Benefits- https://india.target.com/life-at-target/workplace/benefits
• Culture- https://india.target.com/life-at-target/belonging