Lead Operations Research Scientist
3 weeks ago
Target's Global Supply Chain and Logistics is evolving at an incredible pace. We are constantly reimagining how we get the right product to the guest even better, faster and more cost effectively than before. We are becoming more intelligent, automated and algorithmic in our decision-making, so that no matterhow guests shop—in stores or on Target.com—we deliver the convenience and immediate gratification they demand and deserve. We are on a mission to win decisively over any competitor, with a seamless and superior guest service experience unlike any they can offer. Our team's work with the agility our mission requires, and we constantly come together to implement new processes in record time. We're looking for exceptional people who are proactive, creative, independent, innovative, risk-savvy and comfortable working in varying degrees of ambiguity.
Are you a critical thinker who digs deep to find root causes and excels in both qualitative and quantitative analysis? Can you identify inefficiencies in existing systems, define clear problem statements, and swiftly develop and execute effective solutions? If you're also someone who inspires others to act, you'll thrive on one of our dynamic teams.
A role in Global Supply Chain and Logistics means creating industry leading intelligence solutions to drive best in class omnichannel guest experiences at the lowest cost to Target. You might focus on enabling the future transportation operating model, optimizing inventory management, driving topology planning or leveraging deep business insights and analytics to propel Target's Supply Chain. Super-powered first and foremost, by our people, and supported by robust process and technology, we are a team of data-focused, curious minds who love to solve hard problems to enable a dynamic, fast paced Supply Chain Network. Our modern operating systems are built by Target and lead in the arena of automated large-scale supply chain planning and optimization systems running large-scale solves for complex optimization problems.
The Supply Chain Network Optimization team is part of Global Supply Chain and Logistics team and responsible for providing insights, leading strategy, and optimization-based initiatives to drive the efficiency of Target's overall supply chain network. The team member will need to use data engineering skills, statistical knowledge, simulation and modelling techniques while collaborating with data science, product, technology and business partners to transform
Target's supply chain network. This role will support cross pyramid business teams and coordinate solutions across enterprise functions impacting productivity savings goals, system configuration accuracy (i.e. transit time, lead time, etc.), product roadmaps and process optimization
Role will work closely with Target Tech and data science team across globe and partners closely with Digital, Global Supply Chain & Logistics teams, Store Operations in USA.
Principle Duties & Responsibilities:
- Analyse large volumes of granular supply chain data to develop key performance metrics across sales, transportation, operations, and inventory.
- Conduct root cause analysis to identify key drivers of operational performance and variances from projected outcomes.
- Collaborate with business to evaluate opportunities, quantify potential improvements, and define key focus areas for enhancing guest experience cost efficiency in Target's supply chain management (SCM).
- Apply mathematical modelling, simulation techniques, and statistical analysis to identify and solve complex supply chain challenges.
- Work closely with cross-functional teams—including building operations, transportation, and technology—to develop data-driven recommendations and implement solutions.
- Partner with product, analytical, and global supply chain teams to drive business objectives such as reducing shipping expenses, improving network speed, and optimizing inventory availability for various service levels.
- Participate in pilot programs to validate business opportunities, ensuring a smooth transition into standard processes where applicable.
- Collaborate with data science and engineering teams to support the deployment of algorithmic solutions for supply chain planning and control.
Requirements:
- Education: B.Tech/M.Tech/MS in a quantitative discipline such as Engineering, Statistics, Operations Research, or Mathematics.
- Experience: 8-10 years of relevant experience in retail/supply chain management.
- Analytical Skills: Strong experience in solving business problems using data-driven analytical techniques. Passion for empirical research and solving complex problems with data.
- Technical Proficiency: Expertise in SQL, PySpark, and statistical tools such as R or Python for data analysis and building prototypes.
- Understanding of algorithm analysis, computational complexity, and optimization techniques.
- Supply Chain Knowledge: Experienced in supply chain concepts such as replenishment, purchasing, planning, optimization, and logistics
- Research & Modelling: Proficiency in simulations, A/B testing, stochastic models, forecasting, and mathematical modelling.
- Software & System Knowledge: Technical aptitude and familiarity with complex supply chain and logistics software systems.
- Communication & Collaboration: Ability to explain complex technical concepts in a clear, concise manner to diverse audiences.
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