Data Scientist

🕒 Junho 9

🚗 Michigan – Remoto

🚗 Michigan – Remote

💵 $128.710 - $186.624 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

📊 Cientista de Dados

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Ford Motor Company

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1903

🚗 Transporte

💰 Post-IPO Debt em 2023-08

Transport • Manufacturing • Sustainability

A Ford Motor Company é uma empresa automotiva de renome global sediada nos Estados Unidos, fundada por Henry Ford. A empresa está comprometida em construir um mundo melhor, onde cada indivíduo tenha a liberdade de se mover e seguir seus sonhos. A Ford é dedicada à inovação, com foco em serviços, experiências e software, além de sua tradicional fabricação de veículos. A empresa está ativamente envolvida em iniciativas de sustentabilidade e pretende cumprir metas ambientais ambiciosas. A Ford valoriza o serviço, o impacto na comunidade e se esforça para combinar sucesso nos negócios com responsabilidade social e ambiental. Com uma rica história de mais de 121 anos, a Ford continua a se adaptar e liderar no cenário automotivo em evolução.

Descrição

• Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization. • Architecting and integrating complex novel data science algorithms into the fabric of these end user applications. • Ensuring application performance and adhering to enterprise compliance and best practice development standards. • Mentoring junior data scientists.

🎯 Requisitos

• Master's degree or foreign equivalent in Data Science, Computer Science, Statistics, Operations Research, Mathematics, Marketing Science, Industrial Engineering, Computer Applications or a related field and 5 years of experience in the job offered or a related occupation. • 5 years of experience with each of the following skills is required: 1. Python and SQL programming for data extraction, analysis, or integration. 2. Using cloud platforms (Google Cloud Platform, AWS, or Azure) and building data processing pipelines (Spark and Dataflow) and utilizing managed machine learning services. 3. A/B testing design, implementation, and analysis, and experimental design methodologies. 4. MLOps practices, including model deployment, versioning, and automated monitoring in production environments. • 4 years of experience with each of the following skills is required: 1. Data architect and GenAI pipeline development using OpenAI, LLaMA, Gemini, Vertex AI, or AutoML. 2. Advanced statistical modeling, machine learning techniques, including regression, classification, forecasting, and causal inference, using relevant data science libraries and frameworks (Scikit-learn, XGBoost, TensorFlow/PyTorch, or Pandas). • 3 years of experience with the following skill is required: 1. Development of GenAI and machine learning models.

🏖️ Benefícios

• Immediate medical, dental, and prescription drug coverage • Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more • Vehicle discount program for employees and family members, and management leases • Tuition assistance • Established and active employee resource groups • Paid time off for individual and team community service • A generous schedule of paid holidays, including the week between Christmas and New Year's Day • Paid time off and the option to purchase additional vacation time.