Summary Objective 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 What Youll Do Translate complex business problems into data modeling and machine learning solutionsCollect clean transform and validate data for analysis and model developmentExplore data to identify patterns trends anomalies and actionable insightsDesign train evaluate and refine predictive or optimization modelsSelect appropriate features algorithms metrics and validation strategiesBuild reproducible data and machine learning pipelinesDeploy models for batch or real time inferenceDevelop and maintain infrastructure for reliable model servingMonitor model performance data quality drift latency and operational healthCommunicate findings and collaborate with stakeholders engineers and domain expertsActively models and promotes Identity Digitals core values through day to day interactions behaviors and decision makingOther duties as assignedWho You Are What You Bring 3 years of experience in developing deploying and monitoring production data ML pipelinesBachelors Degree in Mathematics Computer Science Data Science Engineering or other quantitative field is required; Advanced degree Masters or PhD in AIML preferredDeep 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 practicesProfessional development experience with the following tools and platforms 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 LLMsStrong programming proficiency in Python and SQL; familiarity with Shell scripting is a plusExceptional 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 needed Reliable transportation to the workplacePhysical Requirements Prolonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds at timesSalary Range The base salary range for this full time position is CAD 87000 114000 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 andor nondiscretionary bonuses and long term incentive plan Actual compensation will be influenced by a candidates qualifications internal employee equity considerations and location We will not ask for information about a candidates current or past compensation for purposes of developing an offer of employment Note Advantages programs are subject to eligibility requirements and may vary in certain locations A few things to know about us 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 perks social and recreational activities and termination Background Check Statement 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 Statement Please 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 Statement 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 If reasonable accommodation is needed to participate in the job application or interview process please contact our Recruiting Team at careersidentitydigital

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