Data Scientist

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

About Everflow

Everflow is a SaaS partner‑marketing platform that helps brands, agencies and networks manage and grow revenue from affiliates, partnerships and other marketing channels. Founded in 2016, the company has built a $29M ARR pipeline while supporting a portfolio of 1,000+ customers, including Mutual of Omaha, ClassPass, and Tapjoy.

About the Role

As an early member of Everflow’s Data Science team, you will help shape our AI strategy and build AI‑powered solutions for internal operations and product offerings. Your focus will be on designing scalable data pipelines, generating insights, and automating processes using GCP‑based tools such as Vertex AI, BigQuery ML and Gemini Enterprise.

What You’ll Do

• Design, develop and maintain scalable data pipelines that support ML applications and AI agents.
• Lead the end‑to‑end data science lifecycle, from data exploration and cleaning to production‑ready deployments, collaborating closely with Product and Engineering.
• Deploy intelligent agents with Gemini Enterprise and other LLM platforms to automate complex tasks and deliver actionable insights to Sales, Marketing and Operations.
• Monitor and optimize the performance and cost‑efficiency of our data infrastructure, ensuring lean resource usage and high pipeline performance.

Qualifications

• Advanced proficiency in Python and SQL.
• Strong experience with Google Cloud Platform—BigQuery (including BigQuery ML), Dataflow, Pub/Sub, Cloud Composer (Airflow) and Vertex AI.
• Hands‑on knowledge of data‑integration tools to build and maintain ETL/ELT processes.
• Practical experience deploying ML models on Vertex AI and experimenting with LLMs via Gemini Enterprise.
• Experience with Terraform or IAM configuration on GCP is a plus.
• Ownership mindset: capable of driving projects from inception to completion.
• Problem‑solving skills: able to uncover data sources, optimize processes and “get the job done.”
• Strong communication: able to convey technical concepts to developers and business stakeholders alike.
• Product‑oriented: treat data as a product that provides useful, accessible information.

Bonus Points

• Background in marketing technology or SaaS platforms.
• Familiarity with data warehousing and ETL workflows.
• Contributions to open‑source AI/ML projects.

Compensation and Benefits

• Base Salary: $90,000 – $100,000 CAD per year.
• Bonus Potential: Performance‑based incentive program.
• Benefits: Employer‑covered medical coverage, unlimited PTO, paid parental leave, startup‑style environment, collaborative culture, education/fitness stipend.

Location

Montréal, QC – Hybrid work arrangement.