The Data & Analytics team builds and manages data systems, analyzes information to generate insights, and develops machine learning models to support automated decisioning. As a Data Scientist and Machine Learning Engineer, you will work across (and connect) the expertise of these two related but distinct disciplines.

Your responsibilities will include (but not be limited to): deriving data insights to drive decision making, applying ML and modeling techniques to solve business problems, and deploying and managing those models in production. This role reports to the Director of Business Intelligence. Translate complex business problems into data, modeling, and machine-learning solutions Collect, clean, transform, and validate data for analysis and model development Explore data to identify patterns, trends, anomalies, and actionable insights Build reproducible data and machine-learning pipelines Develop and maintain infrastructure for reliable model serving Monitor model performance, data quality, drift, latency, and operational health Actively models and promotes Identity Digital’s core values through day-to-day interactions, behaviors, and decision-making 3+ years of experience in developing, deploying, and monitoring production data / ML pipelines ~ Bachelor's Degree in Mathematics, Computer Science, Data Science, Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferred ~ Deep technical knowledge in several of the following topics: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models,



and modern MLOps / LLMOps practices ~ Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, SHAP and leveraging AI / LLMs. ~ Strong programming proficiency in Python and SQL; Creative and strategic thinker with a strong analytical foundation and a focus on measurable impact ~ Knowledge of the domain name industry or digital identity ecosystem is a plus ~ Ability to travel as needed ~ Prolonged periods of sitting at a desk and working on a computer The base salary range for this full time position is CAD $87,000 - $114,000 (flexibility based on experience) plus additional benefits.

In addition, the successful candidate will be eligible to receive other compensation from time to time in the form of discretionary and/or nondiscretionary bonuses and long-term incentive plan. Actual compensation will be influenced by a candidate’s qualifications, internal employee equity considerations, and location.

Identity

Digital is an Equal Opportunity Employer and does not discriminate based on race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination. We are committed to the full inclusion of all qualified individuals.

As part of this commitment, Identity Digital will ensure that persons with disabilities are provided reasonable accommodations. digital. #

📌 Data Scientist & Machine Learning Engineer (Toronto)
🏢 Identity Digital
📍 Toronto