Senior Data Analyst

Canopy

Senior Data Analyst developing machine learning models and algorithms for vehicle security solutions. Collaborating cross-functionally to analyze data and communicate insights effectively.

Posted 4/24/2026full-timeRemote • Missouri • 🇺🇸 United StatesSenior💰 $96,900 - $132,300 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGrafanaPythonPyTorchSQLTableauTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical analysispredictive modelingPythonSQLdata cleaningdata transformationfeature engineeringdeep learningMLOps

Soft Skills

problem-solvingcommunicationmentoringcollaborationindependenceproject managementcontinuous learninginnovation

Certifications

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in MathematicsMaster’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in StatisticsPh.D. in Data SciencePh.D. in Computer SciencePh.D. in Statistics