Senior Data Scientist - Optimization

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest

problems faced by organizations globally. We develop bespoke solutions powered by data

and technology for several Fortune 100 companies. We have offices in multiple cities across

the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with

over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we

are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background,

practical experience in optimizing replenishment strategies and allocating resources within

supply chains, and strong coding capabilities to add to our team.

Key Responsibilities :

Responsible for refactoring the Optimization algorithm written in Python using Object

Oriented Programming

Work on the latest applications of data science to solve business problems in the

Supply chain and optimization space of Retail and / or CPG.

Utilize advanced statistical techniques and data science algorithms to analyze large

datasets and derive actionable insights related to replenishment optimization and

inventory allocation.

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.

Stay abreast of industry trends and best practices in data science, replenishment

optimization, and supply chain management, and leverage this knowledge to drive

innovation within the organization.

Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

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.

Ability to apply various analytical models to business use cases

Exceptional communication and collaboration skills to understand business partner

needs and deliver solutions and explain to business stakeholders.