Data Scientist, AI & Data Pipelines (Hybrid)

Everflow - Partner Marketing Platform; Montreal (administrative region); Hybrid; CAD 90,000 - 100,000; Full time

Job summary

A leading SaaS marketing company in Montreal is seeking a Data Scientist to join their team. The successful candidate will focus on shaping AI strategies and building scalable data pipelines to automate internal operations and enhance product offerings. Key qualifications include advanced skills in Python and SQL, strong experience with Google Cloud Platform, and a problem-solving mindset. The position offers a competitive salary and hybrid work options.

Benefits

Employer-covered medical coverage

Unlimited PTO

Paid parental leave

Education/fitness stipend

Qualifications

• Advanced proficiency in Python and SQL required.
• Strong experience with Google Cloud Platform essential.
• Hands-on knowledge of ETL/ELT processes necessary.
• Experience deploying ML models on Vertex AI preferred.
• Ownership mindset needed for project management.
• Problem-solving skills to optimize processes essential.
• Strong communication skills required to convey concepts.

Responsibilities

• Design and maintain scalable data pipelines for ML applications.
• Lead the data science lifecycle from exploration to deployment.
• Deploy intelligent agents for task automation and insights.
• Monitor and optimize data infrastructure performance.

Skills

Python

SQL

Google Cloud Platform

Data integration tools

Machine Learning deployment

Problem-solving

Strong communication

Product orientation

Tools

BigQuery

Vertex AI

Terraform

Job description

A leading SaaS marketing company in Montreal is seeking a Data Scientist to join their team. The successful candidate will focus on shaping AI strategies and building scalable data pipelines to automate internal operations and enhance product offerings. Key qualifications include advanced skills in Python and SQL, strong experience with Google Cloud Platform, and a problem-solving mindset. The position offers a competitive salary and hybrid work options.