Senior Data Scientist (Operations Research and Optimization)

Cette offre d'emploi est rédigée en anglais pour des raisons de simplicité. La maîtrise des deux langues (français et anglais) est préférable.

Yeji Data Lab, a global consultancy firm, is on the frontier of using advanced operations research techniques to address complex business challenges and unlock sustainable value. Our diversified clientele spans North America and the Middle East, with ambitions to expand our footprint. Embark on a journey with us and play a pivotal role in shaping the future of decision-making.

We are actively seeking a senior data scientist with a strong background in operations research (OR) to join our versatile team, working closely with business strategists and AI experts. The right candidate will have a profound knowledge of operations research methods., along with Experience with machine learning (ML) techniques, business processes and the technology sector are preferred.

Responsibilities :

• Lead the design, development, and refinement of advanced optimization models and simulation algorithms.
• Oversee data gathering, preprocessing, and validation efforts to ensure high-quality inputs for analytical models.
• Analyze large-scale datasets to uncover business trends, constraints, and opportunities.
• Develop and deploy robust statistical and ML models that drive strategic business decisions.
• Create compelling data visualizations and reports to clearly communicate insights and recommendations to stakeholders.
• Formulate and solve complex business problems using mathematical optimization techniques such as Linear Programming, Integer Programming, Dynamic Programming, and Network Optimization.
• Develop and implement scalable quantitative models to drive decision-making across diverse business domains.
• Apply decomposition techniques to address very large-scale optimization problems where direct solutions are intractable.
• Design exact and heuristic approaches for operational, logistics, or resource allocation problems, balancing precision with computational efficiency.
• Partner with cross-functional teams to capture business requirements and translate them into actionable OR and ML solutions.
• Apply linear programming, mixed-integer programming, stochastic optimization, and other advanced techniques to solve business problems.
• Design, write, and maintain clean, efficient, and scalable Python code for decision-support applications and optimization engines.
• Build software prototypes and production-grade tools to validate and deploy advanced analytics models.
• Collaborate with engineering teams to integrate optimization and machine learning models into broader systems and workflows.
• Mentor junior team members and contribute to the development of best practices in model design and analytics workflows.
• Translate complex business requirements into structured, quantitative models that align with organizational goals.
• Prepare and deliver high-impact presentations to internal and external stakeholders, including C-level clients.

Qualifications :

If you're passionate about integrating operations research and machine learning to drive transformative business impact and thrive in a dynamic, collaborative environment, we want to hear from you.

Apply now!