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Senior Operations Research Scientist
vor 1 Monat
**Ready for a challenge?**:
Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.
**About this role**:
As a Senior Data Scientist you will design and implement advanced Operations Research (OR) models such as pricing algorithms, routing, shift planning, or capacity planning, utilizing techniques like mixed-integer programming, constraint programming, metaheuristics, etc.
You’ll work closely with DevOps engineers and backend developers to deploy these solutions into production systems, leveraging cloud infrastructure, event stores, and robust deployment pipelines. Staying at the forefront of OR advancements, you’ll explore new algorithms, architectures, and methodologies to enhance the performance of our products and algorithms.
You’ll uphold rigorous quality standards to ensure the delivery of efficient, reliable solutions aligned with business needs and collaborate on incorporating machine learning techniques into OR models for further innovation. Additionally, you'll collaborate with backend engineers, data scientists and Machine Learning (ML) engineers, empowering them to utilise our algorithms effectively to drive maximum impact in our operations.
Finally, you will play a pivotal role in our team by fostering collaboration among peers. You'll work closely with fellow data scientists to establish and implement best practices, share insights, and provide constructive feedback on each other's projects. Your expertise and leadership skills will be instrumental as you mentor junior team members, guiding them through their projects and helping them develop their skills.
**These are some of the key ingredients to the role**:
- Leadership and mentorship skills, with the ability to guide and develop junior data scientists and foster team collaboration.
- A holistic project approach, from generating business cases to managing the full lifecycle of models.
- Ability to generate innovative ideas, test hypotheses rigorously, and pitch business cases to stakeholders.
- Critical analysis of approaches, assumptions, and business impact, with the ability to challenge and refine strategies for optimal results.
- Preference for simple, scalable, and effective solutions, particularly in complex projects.
- Expertise in agile environments with strong collaborative skills, particularly in cross-functional teams.
- Excellent communication skills, including the ability to present complex data insights and OR / ML concepts to a wide range of stakeholders, both technical and non-technical.
**What will you bring to the table?**:
- Expertise in designing and solving OR models for large scale and time critical decision optimization problems
- Proficiency in deploying OR solutions using continuous integration and deployment pipelines
- Advanced understanding of exact optimization techniques (e.g., linear/integer programming) and heuristic methods.
- Proficiency in Python, Java, or similar languages.
- Experience with cloud-based systems, data pipelines and code versioning systems.
- Experience in developing ML models and their integration with OR solutions.
**At JET, this is on the menu**:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.
**Inclusion, Diversity & Belonging**:
**What else is cooking?**:
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.
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