Senior Data Science Manager: Lead Scalable ML & AI Impact

ODAIA; Mississauga; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading data science firm located in Peel Region, Mississauga is looking for a Senior Manager, Data Science. You will lead teams of data scientists and analysts, leveraging machine learning and statistical modeling to drive business decisions. Ideal candidates will have a PhD or Master's in a relevant field with extensive experience in machine learning, programming, and analytics. This role focuses on innovation and collaboration, aiming to enhance product and operational strategies through data-driven insights.

Benefits

Mentorship and development opportunities

Innovative work environment

Flexible work arrangements

Qualifications

• Proven ability to develop large-scale machine-learning models.
• Strong understanding of advanced algorithms including reinforcement learning.
• Experience in deploying and maintaining ML models in production.

Responsibilities

• Develop and implement high-performance applications for personalized recommendations.
• Collaborate with stakeholders to create data-driven solutions.
• Communicate insights through reports and presentations.

Skills

Machine Learning

Data Analysis

Programming in Java and Python

Statistical Modeling

Problem-Solving Skills

Education

PhD or Master's in Computer Science, Statistics, or Mathematics

Bachelor's in relevant field and 5 years of experience

Master's in relevant field and 3 years of experience

7 years of experience in an analytics-related field

Tools

TensorFlow

PyTorch

Pyspark

SQL

Job description

A leading data science firm located in Peel Region, Mississauga is looking for a Senior Manager, Data Science. You will lead teams of data scientists and analysts, leveraging machine learning and statistical modeling to drive business decisions. Ideal candidates will have a PhD or Master's in a relevant field with extensive experience in machine learning, programming, and analytics. This role focuses on innovation and collaboration, aiming to enhance product and operational strategies through data-driven insights.