Senior Data Scientist – Digital Fulfillment T+

About Us

As a Fortune 50 company with more than 400000 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 hasnt 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 Targets global team and has more than 4000 team members supporting the companys 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 youll be challenged to harness Targets 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

Our Supply Chain Data Science team oversees the development of state-of-the-art mathematical techniques to help solve important problems for Targets Supply Chain e.g. identifying the optimal quantities and positioning of inventory across multiple channels and locations planning for the right mix of inventory investments vs guest experience Digital Order Fulfillment planning transportation resource planning etc. As a Data Scientist in Digital fulfillment Planning space you will have the opportunity to work with Product Tech and business partners to solve retail challenges at scale for our fulfillment network.

Position Overview:

As aSenior Data Scientist at Target you will get an opportunity designdevelop deploy and maintain data science models and tools. Youll work closely with applied data scientists data analysts and business partners to continuously learn and understand evolving business needs. Youll also collaborate with engineers and data scientists onpeerteams to buildand productionizefulfillment solutions for our supply chain/logistics needs.

• Develop a strong understanding of business and operational processes within Targets Supply chain and Target Marketplace

• Develop an in-depth understanding of the various systems and processes that influence Digital order fulfillment speed & costs.

• 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 optimization/statistical/Discrete event simulation models to solve problems in promise allocation and digital fulfilment 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 or ecommerce 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 businessproblems innovating new approaches where required

• Hands-on experience in deploying ML models with large-scale impactin 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

• 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

Know More About Us here:

• Life at Target- Experience:

  Senior IC