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 5,000 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. Position Overview 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 modelling 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 expect 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. As you follow agile processes, you will implement prototypes for individual components of software or data science solutions and understand and leverage basic data structures and algorithms in implementing solutions. Leverage your high-level understanding in business domain to gain knowledge of high-level Target business priorities, strategic goals and their impact, as well as details of the specific business sub-problem you are focused on. You will collaborate with peers on their product and document and present work to peers and participate in code reviews and gain broader understanding of different components within the application. The exciting part of retail? It’s always changing! Core responsibilities of this job are described 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 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