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Senior Data Scientist

August 15

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Logo of Canopy

Canopy

The first smart security camera for your pickup truck 🚨 Backed by Ford 🛻

51 - 200

Description

• Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems. • Collaborate with cross-functional teams 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. • 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 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.

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.

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