Chief Data Optimization Strategist
3 weeks ago
We are seeking a seasoned Chief Data Optimization Strategist to join our team at Tiger Analytics. In this role, you will be responsible for developing and implementing data-driven solutions to optimize replenishment strategies and resource allocation within supply chains.
About the RoleThis is an exceptional opportunity for a highly skilled data scientist with 10+ years of experience in supply chain optimization and inventory allocation. You will work closely with cross-functional teams to understand business requirements and translate them into actionable insights.
As a key member of our team, you will design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies. You will also monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, providing recommendations for continuous improvement.
Key Responsibilities- Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
- Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
- Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
- Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
- Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
- Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. The estimated salary for this role is $180,000 - $220,000 per year, depending on location and experience.
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