Senior Data Scientist – Operation Research

🕒 Maio 25

🤠 Texas – Remoto

🤠 Texas – Remote

⏰ Tempo Integral

🟠 Sênior

📊 Cientista de Dados

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Tiger Analytics

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

Fundada em 2011

🤖 Inteligência Artificial

🤝 B2B

Artificial Intelligence • B2B • Consulting

A Tiger Analytics é uma consultoria líder em IA e analytics, especializada em aplicar ciência de dados e Machine Learning para gerar insights estratégicos de negócio em diversos setores. Oferecemos serviços de estratégia de dados, engenharia de IA e business intelligence, viabilizando a tomada de decisão orientada por dados e a transformação digital de nossos clientes. A Tiger Analytics colabora com parceiros de tecnologia de ponta, como Microsoft, Google Cloud e AWS, para entregar soluções de última geração. Atendemos a uma ampla gama de segmentos, incluindo bens de consumo embalados (CPG), saúde e serviços financeiros, ajudando as empresas a operacionalizar insights e a se diferenciar com tecnologias de IA e Machine Learning.

Descrição

• - 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.

🎯 Requisitos

• - 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.

🏖️ Benefícios

• 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.***