Sr Data Scientist- Stores
Sr Data Scientist- Stores
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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.
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 Stores Data Science team oversees the development of state-of-the-art mathematical techniques to solve key problems for Targets Stores such as identifying optimal tasks prioritizing work and sequence work for our teams to meet the dynamic guest demands. The team leverage machine learning operations research and simulation to help design the future of how our stores work.
Position Overview:
As a Senior Data Scientist you will collaborate with Product Tech and business partners to solve retail challenges at scale within our stores. You will design develop deploy and maintain data science models and tools. Youll work closely with applied data scientists data analysts and business partners to continuously learn and address evolving business needs. Youll also collaborate with engineers and data scientists on peer teams to build and stores solutions.
Develop a strong understanding of business and operational processes within Targets Stores.
Gain an in-depth understanding of systems and processes influencing stores efficiency.
Analyze large datasets to derive insights for business process 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 stroes operating model.
Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies.
Enhance and maintain the simulation environment to enable testing/deploying new features for running custom scenarios.
Coordinate the analysis troubleshooting and resolution of issues in models and software.
About You
Bachelors/MS/PhD in Mathematics Statistics Operations Research Industrial Engineering Physics Computer Science or related fields.
3-4 years of relevant experience.
Experience in applying Operations Research to solve complex problems in Supply chain or related domain.
Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches.
Experience cleaning transforming and analyzing large datasets for insights leading to business improvements. Supply chain data experience preferred but not required.
Experience developing testing and maintaining large codebases in a collaborative environment while meeting industry best practices.
Proficiency in Python SQL Hadoop/Hive Spark.
Strong experience in JVM-based languages like Java or Kotlin preferred.
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.
Know More About Us:
Life at Target- Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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