Data Scientist

Job Summary

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!

Responsibilities

• 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!

Requirements

• 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.