Canopy

Canopy is a startup committed to combating vehicle theft using patented AI technology and expert monitoring. With a mission to alert vehicle owners to potential threats before they occur, Canopy aims to revolutionize security technology in the automotive industry.

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đź“Ť Detroit, Michigan, United States

đź’¸ 74600 - 104000 USD per year

🔍 Vehicle security and technology

  • 3+ years progressive product or program management experience.
  • Bachelor’s Degree in Computer Science, Information Systems, Business Management, Economics, Finance, Marketing, or related fields.
  • Demonstrated ability to understand customer needs and define product vision.
  • Experience managing an iterative engineering team backlog and product hypotheses validation.
  • Excellent communication skills; proven collaboration with engineers and designers.

  • Collaborate with TPM team to define product and engineering vision, strategy, and roadmap.
  • Lead cross-functional engineering initiatives fostering collaboration and knowledge sharing.
  • Manage end-to-end program lifecycle including ideation, requirements gathering, and release planning.
  • Stay updated on market trends, collaborate with Legal for compliance, and work with Marketing on differentiators.

LeadershipAgileArtificial IntelligenceProduct ManagementQASCRUMProduct DevelopmentStrategyCommunication SkillsCollaboration

Posted 2024-10-19
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đź“Ť United States

đź’¸ 96600 - 135000 USD per year

🔍 Vehicle security technology

  • 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.
  • Authorized to work in the United States.
  • Proficiency in programming languages such as Python or R.
  • 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.
  • 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.

  • 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.

PythonSQLCloud ComputingMachine LearningPyTorchTableauAlgorithmsAzureData engineeringData scienceGrafanaTensorflowCommunication SkillsProblem Solving

Posted 2024-09-23
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