Senior Data Analyst

🕒 April 24

🚗 Michigan – Remote

🚗 Michigan – Remote

💵 $96.9k - $132.3k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Canopy

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔐 Security

🔧 Hardware

Security • Automotive • Hardware

Canopy is a company that provides advanced security solutions specifically designed for pickup trucks. Acquired by Ford Motor Company, Canopy focuses on enhancing vehicle security through products like the Pickup Cam, a camera system that offers HD live streaming and AI-powered notifications to monitor and protect pickup truck beds. Their systems are equipped with features like cloud video storage and LTE connectivity, enabling truck owners to manage security and receive real-time alerts about intrusions. Canopy aims to revolutionize vehicle security, particularly for open pickup beds, providing peace of mind for truck owners. The company emphasizes ease of use with DIY setup, over-the-air updates, and premium customer support.

📋 Description

• 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.

🎯 Requirements

• 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)

🏖️ Benefits

• 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