Role- Lead Operations Research Scientist – Supply Chain Network Optimization

Target

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 diverse voices and lifts each other up. Here, we believe
your unique perspective is important, and you'll build relationships by being
authentic and respectful.

About the Team

Supply Chain Network Optimization (SCNO) is a global team and part of Integrated
Operations Planning & Network steering within Global Supply Chain and Logistics.
We are at the forefront of defining and enabling an efficient, reliable and best
in class supply chain. This team uses a wide variety of engineering and advanced
applied mathematical techniques (5Why’s, ML, AI, OR, MILP, DES,) techniques to
study and solve niche problems in supply chain across the entire value chain
(Planning,



purchasing, transportation, multi echelon inventory, last mile and
process optimization) to enable the best guest experience and profitable growth
for Target.

About the Role

As a Lead Operations Research Scientist in SCNO, you will tackle complex supply
chain challenges, develop a deep understanding of problem complexity, and drive
cutting-edge solutions. This role requires robust experience working with large
data sets, advanced programming skills, and a solid foundation in statistics,
probability theory, machine learning, AI, simulations (such as Monte Carlo and
discrete event simulation), and operations research.

You will be expected to work effectively on high-visibility problems that come
with inherent risks, roadblocks, and constraints, while collaborating closely
with cross-functional stakeholders. You will also be accountable for planning
and delivering team projects, ensuring alignment

📌 Lead Operations Research Scientist (Bengaluru)
🏢 Target
📍 Bengaluru