Senior Data Scientist - Team & Ops

About Us

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of Americas 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 youll 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.

Position Overview

• Develop a strong understanding of business and operational processes within Target s Team and Ops Finance portfolio

• Develop and deploy scalable and reproducible data science models for answering variety of business problems

• Work hands on and actively partner across the team - defining business problem, formalize the problem algorithmically, data discovery to insights/predictions and prototype solutions .

• Analyze data to identify and propose feature enhancements. Design and implement features to improve scope of the product.

• Develop Machine Learning, NLP, GenAI, Optimization models to solve problems in payments, and taxation on large data

• Integrate models into production code base with robust test coverage

• Adopt modular architecture and good software development/engineering practices to enhance the overall product performance

• Produce clean, efficient code based on specifications

• Coordinate the analysis, troubleshooting and resolution of issues in the models and software

• Generate analyses and other project artefacts to document, archive, and communicate work and outcomes

• Build self-service tools for error detection, diagnosis and predictive metrics.

About You

• Bachelors/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science or other related fields

• 4+ years of relevant experience

• Background in supply chain, ecommerce, fintech will be preferable but not mandatory

• Experience in delivering quick POCs with iterative improvement in product outcomes

• Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required

• Hands-on experience in deploying ML models with large-scale impact in commercial setting using standard ML Ops framework and tools

• Good understanding of data structures and algorithms

• Highly proficient in programming skills in Python, SQL, Hadoop/Hive, Spark. Additional knowledge of Scala, R, Java desired but not mandatory

• Expertise in at least one advanced AI areas like Deep Learning, NLP, Transformers, GenAI, Reinforcement Learning etc.

• Extensive experience in developing, refining, validating, deploying ML models to deliver measurable business outcomes

• Good working knowledge of mathematical and statistical concepts, MILP, optimization, algorithms and computational complexity, data analysis, data mining, forecasting/predictive modeling, simulations, visualizations, and application of same in a variety of business problems

• Excellent written and verbal communication skills

• Able to produce reasonable documents/narrative suggesting actionable insights and recommendations

• Passion for solving interesting and relevant real-world problems using Data science approach

• Self-driven and results oriented. Willing to stretch to meet tight timelines.

• Strong team player with ability to collaborate effectively across geographies/ time zones.Ability to think quick and structure conversations in group setting