Operation Research Scientist - Demand Planning/Forecasting

Tiger Analytics; San Francisco (CA); Sur place; USD 170 000 - 230 000; Plein temps

Avantages offerts par ce poste

Medical insurance

Dental insurance

Vision insurance

Retirement accounts

Disability insurance

Life insurance

HSA/FSA (USA)

Discretionary time-off

Résumé du poste

Tiger Analytics is seeking an experienced Operations Research Scientist to join our advanced analytics and AI team serving large enterprise clients. You will refactor Python optimization code, build predictive models, and translate business needs into data-driven solutions across the supply chain domain.

Join a rapidly growing team driving pricing optimization, inventory management and allocation strategies, with emphasis on experimentation and KPI-driven improvements.

Qualifications

• 10+ years of data science experience focusing on supply chain optimization and inventory allocation.
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, ML, or related field.
• Experience with mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools.
• Strong knowledge of statistical methods, optimization techniques and predictive modeling.
• Proficient in Python, PySpark, and SQL with data analysis and ML libraries.
• Ability to apply analytical models to business use cases.
• Excellent communication and collaboration to translate needs to stakeholders.

Responsabilités

• Refactor the optimization algorithm written in Python using Object Oriented Programming.
• Work on data science applications for supply chain and optimization in Retail/CPG.
• Develop predictive models and optimization algorithms to improve inventory management and reduce stockouts.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Design experiments to evaluate replenishment strategies and allocation policies.
• Monitor KPIs related to replenishment and supply chain allocation and recommend improvements.
• Stay current with trends in data science, replenishment optimization, and supply chain management.
• Mentor and collaborate with a growing Data Science team.

Connaissances

Data science

Supply chain optimization

Inventory allocation

Python

PySpark

SQL

Statistical methods

Optimization techniques

Machine learning libraries

Communication

Formation

MS in Computer Science

PhD in Operations Research

MS/PhD in Applied Mathematics

Outils

Gurobi

Xpress MP

CPLEX

Google OR-Tools

Description du poste

Shape the Future of AI. Transform the World's Leading Businesses.

Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.

We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India.

At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it

We are seeking a Operation Research Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, you will

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 Pricing Optimization
• 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

Why Join Tiger Analytics

• Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes
• Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships
• Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off
• Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands‑on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next‑generation data platforms. Grow alongside a team that invests in developing future‑ready skills and encourages innovation

Benefits

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.