About us:
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's 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 you'll build relationships by being authentic and respectful.
Overview about Target In India
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 in Marketing, Supply Chain Optimization, Network Security and Personalization rely on
Team Overview
The Promo Optimization Team oversees the creation and development Target’s promotion segmentation engine, bringing personalized offers and offer depths to Circle guests. This team builds a variety of models with machine learning and generative AI tools to deliver customized offers across the retail assortment. These models are then carefully tracked for key metrics and the models are updated accordingly.
As a Senior Data Scientist, you will collaborate with Product, Tech, and business partners to solve retail Marketing challenges at scale. You will design, develop, deploy, and maintain data science models and tools. You’ll work closely with engineers and data scientists to build and productionalize segmentation, redemption, and optimization models using ML and Generative AI. You’ll continuously partner with data analysts and business partners to continuously learn and address evolving Marketing challenges.
Position Overview :
Gain an in-depth understanding of systems and processes influencing Marketing incremental sales revenue and redemption.
Analyse large datasets to derive insights for model improvements and solution development.
Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact.
Collaborate with the team to build and maintain complex software systems and tools.
Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network.
Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies.
Coordinate the analysis, troubleshooting, and resolution of issues in models and software.
Mentor junior team members.
About You:
Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields.
3-4+ years of relevant experience.
Experience in applying a variety of machine learning techniques to solve complex problems in Marketing or related domain.
Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches.
Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements.
Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices.
Proficiency in Python, SQL, Hadoop/Hive, Spark.
Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems.
Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications.
Experience deploying solutions with large-scale business impact.
Self-driven and results-oriented, with the ability to meet tight timelines.
Strong team player with the ability to collaborate across geographies/time zones.
Excellent written and verbal communication skills.
Useful Links-
Life at Target- https://india.target.com/
Benefits- https://india.target.com/life-at-target/workplace/benefits