Senior Data Scientist – Digital Fulfillment T+ job opportunity at Target.

Bachelor's (B.Sc.)

Bangalore, Karnataka, India

Bangalore, Kar..........India

summarize with Ai

As a Senior Data Scientist at Target you will get an opportunity design, develop, deploy and maintain data science models and tools. You’ll work closely with applied data scientists, data analysts and business partners to continuously learn and understand evolving business needs. You’ll also collaborate with engineers and data scientists on peer teams to build and productionize fulfillment solutions for our supply chain/logistics needs. __ Develop a strong understanding of business and operational processes within Target’s 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 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 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