Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today’s most pressing challenges with cutting-edge solutions.

As a Senior Data Scientist reporting to the Team Manager of Data Engineering, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to address intricate business challenges. Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools. Additionally, you will be responsible for developing and validating approaches that ensure accuracy, robustness, and scalability for production deployment. 

Responsibilities: 

• 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.
• 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.
  

Preferred Qualifications:

• Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.
• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud..
• Experience where data science has driven significant business outcomes.
• Strong understanding of A/B testing, experimental design, and causal inference techniques.
• Previous experience leading or mentoring a team of data scientists or analysts.
• Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments.

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.

Compensation Range

Compensation may vary depending on skills and experience.

Base Salary: $96,600 - $135,000

Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

Equal Opportunity:  Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.