Sr Data Scientist
Sr Data Scientist
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
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. 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.
Team Overview:
Our Supply Chain Data Science team oversees the development of stateoftheart 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:
In this role as a Senior Data Scientist you will:
Develop a strong understanding of business and operational processes within Targets Supply chain.
Develop an indepth 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 selfservice 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
3 years of relevant experience
Background in supply chain 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
Handson experience in deploying ML models with largescale 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 realworld problems using Data science approach
Selfdriven 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:
Required Experience:
Senior IC
Employment Type
Full-Time
