Experienced Lead Operations Research Scientist - Enterprise Network Strategy and Optimization Expert
Introduction to Target and Our Vision
At Target, we are driven by a culture of excellence and collaboration, aiming to help all families discover the joy of everyday life. As a Fortune 50 company with over 350,000 team members worldwide, we are an iconic brand and one of America's leading retailers. Our values and culture are at the heart of everything we do, from our commitment to community engagement to our focus on innovation and customer satisfaction. Target Global Supply Chain and Logistics (GSCL) is evolving at a fast pace, constantly reimagining how we get the right product to the right guest faster and more efficiently.
About the Network Planning and Global Intelligence Team
The Network Planning and Global Intelligence (NPGI) team is at the forefront of defining the future roadmap for GSCL. This team includes intelligence product teams and aligns them with network planning experts to build industry-leading inventory management and last-mile capabilities. The NPGI team is made up of Network Planning & Decision sciences, Future Transportation, Inventory Health, Sales and Operations Planning, and Order Management System. As part of this team, you will have the opportunity to contribute to the development of Target's Global Supply Chain strategy, optimizing end-to-end operations from sourcing to delivery.
About This Opportunity
Are you passionate about shaping the future of Supply Chain and Logistics strategy for a Fortune 50 company? Do you want to optimize Target's Global Supply Chain, analyzing large data sets and developing complex algorithms, simulation, and optimization models to solve real-world problems? As a Lead Operations Research Scientist, you will be part of a team that is at the forefront of defining the future Omni-channel operating model for Target's Global Supply Chain and store. You will develop cutting-edge data pipelines, optimization, and simulation models to design and operate Target's Global Supply Chain in a fast and efficient manner, working with stakeholders across the company in Finance, Merchandising, Stores, and GSCL teams to enable supply chain transformation.
Key Responsibilities
- Develop an understanding of Supply Chain operational and financial metrics through data analysis and perform root cause analysis to understand the drivers of operational performance and define the business problem.
- Retrieve and analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance of the supply chain across Sales, transportation, operations, and inventory.
- Design and implement complex optimization models for network design, routing, and scheduling.
- Utilize operations research and machine learning methodologies (e.g., linear programming, stochastic processes, simulation) to solve complex business problems at scale and understand the strategic impact on the business.
- Collaborate with cross-functional teams, including engineers, data scientists, and business stakeholders, to formulate solutions and implement recommendations.
- Interpret results from the models and provide insights to the leadership team.
- Lead peers and mentor junior team members as needed, based on the project, and lead cross-functional groups across multiple locations.
- Develop a clear and concise story and problem statements with data to influence decision-making with senior leadership teams.
About You
To be successful in this role, you will need:
- A PhD or Master's in Operations Research, Data Sciences, Computer Science, Industrial Engineering, Applied Mathematics, or relevant work/research experience.
- 5+ years of experience in building and developing advanced optimization, simulation, and machine learning models that perform at scale.
- Significant demonstrated expertise in Optimization Theory (deterministic/stochastic), dynamic programming, linear algebra, probability, and statistics.
- Experience solving large-scale operations research problems using decomposition methods.
- High proficiency in SQL, Big Data/Hadoop, and programming in Python or R.
- Excellent interpersonal and communication skills that can partner with global teams.
- A constant learner mentality that stays on the leading edge of supply chain optimization, network planning, operations research, etc.
Essential Qualifications
In addition to the above requirements, the ideal candidate will have:
- Strong analytical and problem-solving skills, with the ability to analyze complex data sets and develop insights that inform business decisions.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
- A strong understanding of supply chain operations and logistics, with the ability to develop and implement optimization models that drive business results.
- Experience working with large data sets and developing data pipelines, with a strong understanding of data management and analysis principles.
Preferred Qualifications
While not required, the following qualifications are preferred:
- Experience working in a retail or logistics environment, with a strong understanding of the challenges and opportunities in these industries.
- Knowledge of machine learning methodologies and experience applying these to solve complex business problems.
- Experience working with cloud-based technologies and developing scalable solutions that drive business results.
- A strong understanding of business operations and the ability to develop and implement solutions that drive business outcomes.
Career Growth Opportunities and Learning Benefits
At Target, we are committed to helping our team members grow and develop in their careers. As a Lead Operations Research Scientist, you will have access to a range of training and development opportunities, including:
- Professional development programs, designed to help you build new skills and advance in your career.
- Networking opportunities, with the chance to connect with other professionals in your field and build relationships that can help you grow in your career.
- Access to cutting-edge technologies and tools, with the opportunity to develop and implement innovative solutions that drive business results.
- A collaborative and dynamic work environment, with a team that is passionate about using data and analytics to drive business outcomes.
Work Environment and Company Culture
At Target, we are proud of our company culture and the values that drive our business. As a Lead Operations Research Scientist, you will be part of a team that is committed to:
- Using data and analytics to drive business outcomes and inform decision-making.
- Collaborating and partnering with other teams and stakeholders to develop and implement solutions that drive business results.
- Continuously learning and developing new skills, with a focus on staying up-to-date with the latest technologies and methodologies.
- Driving business outcomes and delivering results, with a focus on using data and analytics to inform decision-making and drive business success.
Compensation, Perks, and Benefits
At Target, we offer a competitive salary and benefits package, designed to attract and retain top talent. As a Lead Operations Research Scientist, you can expect:
- A salary range of $126,600.00 - $273,500.00, depending on experience and qualifications.
- A comprehensive benefits package, including medical, vision, dental, life insurance, and more.
- Access to a range of perks and discounts, including employee discounts, paid sick leave, paid national holidays, and paid vacation.
- A 401(k) plan, with a company match, to help you save for your future.
Conclusion
If you are a motivated and experienced operations research professional, looking for a new challenge and the opportunity to drive business outcomes, we encourage you to apply for this role. As a Lead Operations Research Scientist at Target, you will be part of a team that is passionate about using data and analytics to drive business success. You will have the opportunity to develop and implement innovative solutions, collaborate with cross-functional teams, and drive business outcomes. Don't miss out on this exciting opportunity to join our team and help shape the future of Target's Global Supply Chain and Logistics strategy. Apply today!
Application deadline: 01/05/2025
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