Lead Data Scientist- Operations Research
Lead Data Scientist- Operations Research
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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.
About You
Bachelors/Masters/PhD in Mathematics Statistics Operations Research Industrial Engineering Computer Science or a related quantitative field.
6 years of direct hands-on experience building optimization models (e.g. linear mixed-integer network flow or combinatorial).
Strong proficiency in Python and Spark for developing and deploying optimization-based solutions.
Solid understanding of operations research techniques and their application in real-world business problems.
Experience building large scale optimization models/ ability to build models with smart heuristic solutions
Demonstrated experience working on end-to-end solution delivery preferably with production-grade implementation.
Strong verbal and written communication skills: able to translate technical detail into business insight and vice versa.
Strong analytical thinking data transformation and problem-solving ability especially under ambiguity.
Team player with the ability to collaborate effectively across cross-functional geographically distributed teams.
Preferred Experience:
Familiarity with supply chain data and business processes.
Experience working with large datasets.
Experience deploying solutions at scale for business impact.
Background in clean code practices version control (Git) and collaborative development environments.
Know More About Us here:
Employment Type
Full-Time
Key Skills
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