Data Scientist in CANADA

🚀 Hiring: Contract Data Scientist (Remote, Full-Time) | Retention Science Consultancy

We’re on a mission to help subscription-based companies stop churn before it happens.

Whether you’re in SaaS, HealthTech, FinTech, EdTech, Consumer Apps, or Subscription eCommerce, our consultancy applies data science, behavioral analytics, and machine learning to decode why users leave — and what keeps them loyal.

Now, we’re looking for a Data Scientist to join us remotely on a contract on Project basis and help drive real impact through data.

As part of our lean, fast-moving team, you’ll:

• Analyze user behavior to uncover churn triggers and retention levers
• Build predictive models for LTV, churn risk, and segmentation
• Create actionable insights and retention strategies from messy, real-world data
• Integrate models with client CRMs and MarTech stacks (e.g., Braze, HubSpot, Salesforce)
• Help develop churn audits, playbooks, and experiment frameworks for clients

We work with tools like:

• Python, dbt, SQL, BigQuery, Snowflake
• Airbyte/Fivetran for data ingestion
• ML frameworks (scikit-learn, XGBoost, PyTorch optional)
• Tableau/Looker for reporting (bonus if you’re good at storytelling with data)

• 3+ years of experience in applied data science or analytics
• Strong modeling chops — predictive analytics, segmentation, clustering
• Experience with customer data in subscription or consumer-facing businesses
• Great communicator who can explain insights to non-technical audiences
• Comfortable with fast-paced, async work environments

Bonus if you’ve worked with:

• Churn prediction or retention analytics
• Customer journey analysis, growth loops, or experimentation
• CRM data, event tracking, or MarTech integrations

• Work on meaningful projects that directly impact revenue and growth
• We treat customer data like gold — our workflows are SOC 2 Type 1 & GDPR-ready
• No data hoarding: deploy models within client infra, zero vendor lock-in
• Fully remote, async-friendly culture with flexible hours

Send us your portfolio or recent projects you're proud of. We care more about how you think than where you’ve worked.

Let’s build the future of retention science — together.

🔗 Apply via LinkedIn or connect and send me a message.