Senior Data Analyst

🕒 Abril 24

🚗 Michigan – Remoto

🚗 Michigan – Remote

💵 $96.900 - $132.300 / ano

⏰ Tempo Integral

🟠 Sênior

📉 Analista de Dados

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Canopy

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🔐 Segurança

🔧 Hardware

Security • Automotive • Hardware

A Canopy é uma empresa que fornece soluções de segurança avançadas especificamente projetadas para caminhonetes. Adquirida pela Ford Motor Company, a Canopy foca em aprimorar a segurança dos veículos através de produtos como a Pickup Cam, um sistema de câmeras que oferece transmissão ao vivo em HD e notificações impulsionadas por IA para monitorar e proteger as caçambas das caminhonetes. Seus sistemas estão equipados com recursos como armazenamento de vídeo em nuvem e conectividade LTE, permitindo que os proprietários dos caminhonetes gerenciem a segurança e recebam alertas em tempo real sobre invasões. A Canopy visa revolucionar a segurança dos veículos, particularmente para caçambas abertas, proporcionando tranquilidade aos proprietários de caminhonetes. A empresa enfatiza a facilidade de uso com instalação faça-você-mesmo, atualizações over-the-air e suporte premium ao cliente.

Descrição

• Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems. • Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights. • Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools. • Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments. • Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations. • Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.

🎯 Requisitos

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. • 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling. • Proficiency in programming languages such as Python. • Strong expertise in SQL and experience working with large-scale databases and data processing frameworks. • Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering. • Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively. • Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously. • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field. (Preferred) • Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch. (Preferred) • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud. (Preferred) • Experience where data science has driven significant business outcomes. (Preferred) • Strong understanding of A/B testing, experimental design, and causal inference techniques. (Preferred) • Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments. (Preferred)

🏖️ Benefícios

• Comprehensive medical benefits coverage, dental plans and vision coverage. • Health care and dependent care spending accounts. • Employee and Family Assistance Program (EAP). • Employee discount programs. • Retirement plan with a generous company match. • Generous Paid Time Off, Sick, and Holidays • Family Leave (Maternity, Paternity) • Short- and long-term disability • Life insurance and accidental death & dismemberment insurance