Senior Data Science Analyst - Optimusai

Mckinsey U0026 Company
Madrid, Spain
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Clean Code Principles Business Analytics Applications Computer Programming Continuous Integration Decision-Making Software Decision Support Systems DevOps Python (Programming Language) Ansible Backend Kubernetes Data Analytics
+3 more
Machine Learning Operations Terraform Docker

Job description

Experteer Overview As a Data Science Specialist in OptimusAI, you help boost plant productivity through data analytics and real-time AI advisory systems.You work in a multi-disciplinary team, translating client challenges into deployable analytics solutions and shaping product roadmaps.You’ll present insights to executives, collaborate with product engineers, and codify best practices to amplify impact across client engagements.This role offers fast growth, ownership from day one, and a culture that blends learning, ethics, and global teamwork.Compensaciones / Beneficios * Collaborate in a cross-functional team to drive client performance through analytics * Present insights to executive audiences and translate findings into actionable recommendations * Partner with product engineers to develop novel algorithms and products * Codify best practices and contribute to the product roadmap * Develop and deploy data-driven solutions to improve processing plant productivity and control systems * Support a global community by building an analytics toolkit and improving decision-making tools Responsabilidades * 3+ years of hands-on advanced analytics experience, ideally in heavy industry * Advanced Python programming with clean, modular, maintainable code * Proven ability to implement and maintain MLOps pipelines for model integration and deployment * Strong DevOps/backend skills including CI/CD, Docker, Kubernetes, Terraform, and Ansible * Self-starter with excellent organizational skills and ability to drive tasks to completion * Data-driven decision making grounded in facts and logic * Ability to produce high-quality outputs (presentations, models, articles) * Excellent English communication, with adaptability to different audiences and seniority levels * Willingness to work outside traditional hours and take on short-notice projects Requisitos principales * competitive salary * comprehensive benefits package * world-class training and mentorship * ownership and responsibility from day one * travel opportunities to client sites * diverse and collaborative environment

Requirements

Compensaciones / Beneficios * Collaborate in a cross-functional team to drive client performance through analytics * Present insights to executive audiences and translate findings into actionable recommendations * Partner with product engineers to develop novel algorithms and products * Codify best practices and contribute to the product roadmap * Develop and deploy data-driven solutions to improve processing plant productivity and control systems * Support a global community by building an analytics toolkit and improving decision-making tools Responsabilidades * 3+ years of hands-on advanced analytics experience, ideally in heavy industry * Advanced Python programming with clean, modular, maintainable code * Proven ability to implement and maintain MLOps pipelines for model integration and deployment * Strong DevOps/backend skills including CI/CD, Docker, Kubernetes, Terraform, and Ansible * Self-starter with excellent organizational skills and ability to drive tasks to completion * Data-driven decision making grounded in facts and logic * Ability to produce high-quality outputs (presentations, models, articles) * Excellent English communication, with adaptability to different audiences and seniority levels * Willingness to work outside traditional hours and take on short-notice projects Requisitos principales * competitive salary * comprehensive benefits package * world-class training and mentorship * ownership and responsibility from day one * travel opportunities to client sites * diverse and collaborative environment

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