Analista Sênior de Ciência de Dados (Otimização e Pesquisa Operacional) at Accenture

São Paulo, State of São Paulo, Brazil

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Consulting, TechnologyIndustries

Requirements

Graduação, Mestrado ou Doutorado em Matemática Aplicada, Engenharia da Produção, Engenharia Industrial, Ciência da Computação, Sistemas de Informação ou área relacionada
Experiência em modelagem de otimização e desenvolvimento de algoritmos usando Gurobi, CPLEX ou outras engines de otimização
Conhecimento em programação linear, programação inteira e programação inteira mista
Proficiência em uma ou mais linguagens de programação: Python, C++, C# ou similares
Fortes habilidades de resolução de problemas e análise, com capacidade de desenvolver soluções criativas e eficientes para problemas complexos

Responsibilities

Formular, desenvolver e implementar modelos de otimização usando Gurobi, CPLEX, COIN ou outras engines de otimização para diversos tipos de problemas
Projetar e desenvolver algoritmos para problemas complexos de otimização, incluindo Alocação de Recursos, Roteamento de Veículos, Sequenciamento de Tarefas, Otimização de Portfólio e Otimizações de Cadeia de Suprimentos
Preparar documentação clara e concisa do desenvolvimento do modelo, abordagens de solução e resultados
Apresentar soluções de otimização e recomendações para stakeholders técnicos e não técnicos
Validar modelos e soluções de otimização usando métodos heurísticos
Manter-se atualizado sobre as últimas tendências e desenvolvimentos em otimização e identificar proativamente oportunidades de melhoria contínua

Skills

Key technologies and capabilities for this role

Data ScienceOptimizationOperations ResearchProgrammingData PipelinesData Infrastructure

Questions & Answers

Common questions about this position

What are the main daily responsibilities for this role?

You will formulate and implement optimization models using tools like Gurobi, CPLEX, or COIN, design algorithms for problems like resource allocation and vehicle routing, prepare documentation, present solutions to stakeholders, validate models with heuristics, and stay updated on optimization trends.

What education is required for this position?

A Graduation, Master's, or Doctorate in Applied Mathematics or Production Engineering is necessary.

What technical tools and skills are needed?

Proficiency in optimization engines like Gurobi, CPLEX, COIN, and skills in developing algorithms for resource allocation, vehicle routing, task sequencing, portfolio optimization, and supply chain optimizations are required.

What is the company culture like at Accenture?

Accenture embraces change to create shared value, works globally to make a difference, fosters innovation daily with over 738,000 people in 120+ countries, and focuses on transformation through technology, data, and AI.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or what is the location policy?

This information is not specified in the job description.

What makes a strong candidate for this senior data science analyst role?

Strong candidates will have advanced degrees in Applied Mathematics or Production Engineering, hands-on experience with optimization tools like Gurobi and CPLEX, and the ability to design algorithms for complex problems while communicating effectively with stakeholders.

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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