Canopy

👥 101-250💰 $35,000,000 Series C 9 months agoAccountingCRMBillingPaymentsDocument ManagementProject ManagementSoftware💼 Private Company
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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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🔥 Senior Data Scientist
Posted 4 months ago

📍 United States

💸 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 SolvingData visualization

Posted 4 months ago
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