As a Senior Data Scientist, you will be part of the Data & Analytics team, responsible for the design, operation, and continuous improvement of our reporting and analytics platform. You will apply data analysis, predictive modeling, and machine learning techniques to solve business challenges and support key initiatives. This role involves communicating complex data science concepts to non-technical audiences and delivering actionable insights that inform business decisions. You will also maintain, enhance, and deploy machine learning applications in production.This role reports to the Director, Business Intelligence.What You'll DoDesign, build, and deploy predictive models and machine learning algorithms that deliver measurable business outcomesAnalyze and interpret large, complex datasets to uncover meaningful patterns, trends, and actionable insightsPrepare structured and unstructured data through preprocessing, feature engineering, and data quality assuranceMonitor, evaluate, and optimize AI/ML model performance to ensure accuracy and reliability in production environmentsCommunicate insights using compelling data visualizations, dashboards, and storytelling techniquesDevelop and recommend data-driven strategies and AI solutions that address critical business challenges and drive growthResearch, evaluate, and benchmark emerging AI/ML technologies to inform product and platform roadmapsCollaborate with leadership to deliver clear, impactful updates on key insights, project milestones, and demonstrationsLeverage MLOps best practices to streamline the end-to-end lifecycle of AI applications from experimentation to deployment and monitoringExhibit strong analytical and problem-solving acumen, applying agile principles to rapidly test, learn, and iterateActively models and promotes Identity Digital’s core values through day-to-day interactions, behaviors, and decision-makingOther duties as assignedWho You Are / What You Bring5+ years of experience in developing, deploying, and monitoring production data / ML pipelinesBachelor's Degree in Mathematics, Computer Science, Data Science,



Engineering or other quantitative field is required; Advanced degree (Masters or PhD) in AI/ML preferredExpertise across several of the following areas: anomaly detection, time-series analysis, structured and unstructured data processing, causal inference, reinforcement learning, embeddings and vector databases, large language models, and contemporary MLOps / LLMOps practicesProfessional experience with key tools and platforms such as Airflow, Argo Workflows, cloud data warehouses (BigQuery, Databricks, Snowflake), major cloud providers (AWS, GCP), Git, Kubernetes, MLFlow, Pandas, Polars, PyTorch, TensorFlow, and SHAPStrong programming proficiency in Python and SQL; familiarity with Shell scripting is a plusProven ability to lead and deliver complex data and machine learning projects, collaborating effectively across technical and business teamsExperience designing and implementing data-driven systems leveraging business intelligence, data warehousing, and ETL/ELT technologiesExceptional problem-solving skills with the ability to diagnose and resolve issues from limited or ambiguous informationCreative and strategic thinker with a strong analytical foundation and a focus on measurable impactCollaborative communicator who excels in cross-functional environments and builds strong working relationshipsHighly organized with excellent time management, attention to detail,



and execution disciplineKnowledge of the domain name industry or digital identity ecosystem is a plusAbility to travel as neededAbility to work across time zones as part of a global organization as neededReliable transportation to the workplacePhysical RequirementsProlonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds at timesSalary RangeThe base salary range for this full-time position is CAD $104,000 - $136,000 (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. We will not ask for information about a candidate's current or past compensation for purposes of developing an offer of employment.Note: Benefits programs are subject to eligibility requirements and may vary in certain locations.A few things to know about usIdentity 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.At the time of an offer, you will be required to complete a background check. Any offer is contingent upon a satisfactory background check.Sponsorship StatementPlease note that work sponsorship for this position may not be available now or in the future. While we strive to support our candidates, not all roles will qualify. Eligibility will be reviewed on a case-by-case basis.Accommodation StatementWe 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. If reasonable accommodation is needed to participate in the job application or interview process, please contact our Recruiting Team at [email protected].#J-18808-Ljbffr

📌 Sr. Data Scientist I (Hybrid) - C$104,000 - C$136,000 A Year (Toronto)
🏢 Identity Digital
📍 Toronto