Senior Data & AI Scientist — Production ML & Insights

Benevity; Calgary; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Benevity is seeking a Senior Data and ML/AI Scientist to design and build AI-powered solutions for our B2B SaaS platform. You will develop machine learning models and data-driven insights that directly impact customer experience, automation, and business outcomes, collaborating with AI engineers, product teams, and data engineers.

You will deploy models to production, build reproducible training pipelines, and stay current with ML advancements.

Qualifications

• 4-6 years in data science, ML engineering, or applied AI roles in SaaS/tech.
• Experience building customer-facing models (e.g., scoring, personalization, anomaly detection).
• Familiarity with Git, CI/CD for ML and reproducible pipelines.
• Ability to work independently while contributing in a team.
• Strong communication skills for technical and non-technical audiences.
• Awareness of ethical implications of ML including fairness, bias, explainability.
• Experience deploying and monitoring ML models in production with retraining and logging.

Responsibilities

• Design and develop machine learning and statistical models to support product features (e.g., recommendations, predictions, classification).
• Conduct data exploration, feature engineering, and preprocessing for model training/evaluation.
• Analyze model performance and iterate based on experiments.
• Collaborate with data analysts and product stakeholders to define success criteria.
• Prototype and benchmark novel algorithms in NLP, representation learning, and time-series forecasting.
• Develop dashboards or monitoring tools to track model health and KPIs post-deployment.

Skills

Data science

ML engineering

Applied AI

CI/CD for ML

Python

SQL

Education

Bachelor's or Master’s in CS/DS/Engineering

Tools

Git

Jupyter

BigQuery

Docker

Kubernetes

TensorFlow/PyTorch

Job description

Benevity is seeking a Senior Data and ML/AI Scientist to design and build AI-powered solutions for our B2B SaaS platform. You will develop machine learning models and data-driven insights that directly impact customer experience, automation, and business outcomes, collaborating with AI engineers, product teams, and data engineers.

You will deploy models to production, build reproducible training pipelines, and stay current with ML advancements.