Senior Data Scientist - Operations Research, Decision Engine (REMOTE)

Remote Jobs; Teletrabalho; BRL 648.000 - 764.000; Tempo integral

Resumo da oferta

A leading sports retailer in Brazil is seeking a candidate to develop operations research-based models for fulfillment routing and labor scheduling. The ideal applicant will have over 4 years of experience in building optimization and machine-learning models, particularly in logistics or supply chain. The role offers a collaborative environment and opportunities for career advancement with a competitive salary of up to $138,200. Join a team dedicated to innovative AI technologies.

Serviços

Competitive total rewards package

Opportunities for career advancement

Collaborative work environment

Qualificações

• 4+ years of experience in building optimization and machine‑learning models in fulfillment.
• Familiarity with operations research techniques such as linear/mixed‑integer programming.
• Experience with machine‑learning tools like Python and frameworks.

Responsabilidades

• Develop operations research‑based models for fulfillment routing and labor scheduling.
• Apply mixed‑integer programming and simulation for real‑time decision‑making.
• Integrate predictive machine‑learning models with optimization logic.

Conhecimentos

Operations research

Machine learning

Optimization techniques

Python

A/B testing

Formação académica

Bachelor's degree or equivalent

Ferramentas

PyTorch

TensorFlow

Descrição da oferta de emprego

Why consider this job opportunity

• Salary up to $138,200
• Competitive total rewards package that may include incentives, equity, and benefits
• Opportunity for career advancement and growth within a leading sports retailer
• Collaborative and innovative work environment
• Chance to influence enterprise decision‑making and optimize fulfillment operations
• Engage with a highly skilled team focused on cutting‑edge AI and machine-learning technologies

What to Expect (Job Responsibilities)

• Develop operations research‑based models for fulfillment routing, labor scheduling, and queuing optimization
• Apply advanced techniques such as mixed‑integer programming and simulation to solve real‑time decision‑making problems
• Integrate predictive machine‑learning models with optimization logic for adaptive, data‑driven decisions
• Collaborate with engineering teams to deploy models into production systems with real‑time data pipelines
• Communicate insights and model performance to both technical and non‑technical audiences

What is Required (Qualifications)

• Bachelor's Degree or equivalent level preferred
• 4+ years of experience in building optimization and machine‑learning models in fulfillment, logistics, or supply‑chain domains
• Familiarity with operations research techniques such as linear/mixed‑integer programming and queuing theory
• Experience with machine‑learning tools including Python and frameworks like PyTorch/TensorFlow
• General experience to deal with the majority of situations and advise others (3 to 6 years)

How to Stand Out (Preferred Qualifications)

• Advanced degree (MS/PhD) in Operations Research, Computer Science, Statistics, or related field
• Experience in real‑time decisioning systems and streaming data architectures
• Background in eCommerce, retail, or customer‑facing fulfillment systems
• Familiarity with reinforcement learning or contextual bandits for adaptive decision‑making
• Skilled in designing and analyzing A/B tests or switchback experiments for operational models

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