Machine Learning Engineer
The Machine Learning Engineer will analyze data using statistical methods and build data models to derive actionable insights. They will collaborate with marketing and engineering teams to optimize marketing strategies and support data-driven decision-making.
- Hybrid
- Toronto, ON
- Posted Aug 6, 2026
- Apply by Sep 5, 2026
- 1 position
Job summary
Company Description Founded in 2020, Arima's unlimited-use platform breaks through traditional marketing mix modeling (MMM) limitations of speed, accessibility, and cost. The platform provides marketers with endless workflow opportunities to measure how their omni-channel efforts contribute to business objectives. Arima’s platform is powered by Synthetic Society™, a privacy-by-design database that statistically mirrors real-world consumers using over 10,000 attributes from trusted sources. Through an intuitive and interactive user interface, marketers can combine their data with Arima’s to measure marketing performance, generate consumer insights, optimize cross-media plans, and visualize trends with interactive maps—all in one unified platform. Role Description This is a full-time hybrid role for a Machine Learning Engineer, located in Toronto with some work from home flexibility. The Machine Learning Engineer will be responsible for analyzing data using statistical methods, building data models, conducting data analytics, and visualizing data to derive insights. They will work closely with the marketing and engineering teams to support data-driven decision-making and optimize marketing strategies. Qualifications Experience in Statistics, Data Science and Machine Learning Experience with database and cloud platforms is a plus Strong programming skills, specifically in Python Excellent problem-solving and analytical skills Ability to work collaboratively in a hybrid work environment Degree in Data Science, Statistics, Computer Science, or a related field Experience with marketing analytics is a plus
What you’ll do
The Machine Learning Engineer will analyze data using statistical methods and build data models to derive actionable insights. They will collaborate with marketing and engineering teams to optimize marketing strategies and support data-driven decision-making.
Requirements
Candidates must have a degree in Data Science, Statistics, Computer Science, or a related field and strong programming skills in Python. Experience in machine learning, statistics, and cloud platforms is required or preferred.
Listed skills
- Data visualizationPreferred
- Machine learningPreferred
- PythonPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Statistics
- Data Science
- Machine Learning
- Python
- Data Modeling
- Data Analytics
- Data Visualization
- Cloud Platforms
- Database Management
- Marketing Analytics
Job areas
- Data & Analytics
- Technology
- Software
- Engineering
- Marketing
Additional details
- Minimum education
- Bachelor’s degree
- Minimum experience
- 0+ years
- Apply by
- Sep 5, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
- Application method
- Direct apply is available