Data Scientist

We are looking for a data-driven problem solver who thrives at the intersection of engineering and science. You have strong ownership and work autonomously in fast-paced environments, balancing velocity with reliability. As a collaborative mentor, you raise the bar for team quality and discipline while translating complex technical concepts into business value. You're passionate about building scalable solutions and have excellent cross-functional communication skills that bridge engineering and business stakeholders.

Location: Canada

Responsibilities

• Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe.
• Develop scalable data models, Algorithm supporting user 360 views, churn prediction, and recommendation engine inputs.
• Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway.
• Implement CI/CD for data pipelines using Git, dbt, and automated testing.
• Define data quality checks and auditing pipelines for ingestion and transformation layers.
• Mentor and guide junior data engineers on data modeling, performance tuning, and Snowflake best practices.
• Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake.
• Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII).
• Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications.
• Tune algorithm performance.
• Establish data partitioning, clustering, and materialized views for fast query execution.
• Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight).
• Establish and enforce naming conventions, data lineage, and metadata standards across schemas.
• Lead code reviews, enforce documentation standards, and manage schema versioning.
• Contribute to the company’s evolving data mesh and streaming architecture vision.

Requirements

• 5+ years of experience in Data Scientist, with 3+ years in Spark framework.
• Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
• Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration.
• Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar).
• Solid understanding of data modeling (Kimball, Data Vault, or hybrid).
• Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion.
• Familiarity with API-based data integration and microservice architectures.

Benefits

• We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.