econometrician

About CANCEA CANCEA operates North America?s largest socioeconomic agent-based modelling (ABM) platform, representing people, households, firms, and governments across ~58,000 locations in Canada and 4,000+ topics. Our work supports evidence-based decisions in housing and land use, transport and congestion, labour markets, public finance (including development charges), health and social value (OECD-aligned), and broader economic resilience. The Opportunity We are seeking an experienced Econometrician with at least 8 years experience in a consulting capacity and Python expertise and 5+ years of applied experience to design, implement, and validate econometric components that integrate with our ABM platform. This role is hybrid (50% on-site, 50% WFH) in Toronto to support collaboration around complex models, sensitive data, and rapid iteration. The successful candidate will also train to operate our ABM platform end-to-end, progressing to certified operator status. Key Responsibilities * Economic impact projects: Directly support our consulting projects in economic impact analsys. * Econometric design & implementation: Develop and maintain panel/time-series/microdata models; map empirical results into ABM mechanisms and parameters. * Platform operation (training to certification): Progress from guided runs to independent execution of national-scale scenarios?configuration, job orchestration, QA, and delivery with full reproducibility. * Calibration & validation: Back-testing across geographies and time; sensitivity analysis, uncertainty quantification, and clear communication of model fit and limitations. * Policy analysis & communication: Translate model outputs into client-ready memos, charts, and briefings suitable for executive and technical audiences. * Software quality: Write tested, typed, reviewable Python; maintain artefacts (configs, logs, manifests) to ensure full reproducibility. What Success Looks Like (6?12 months) * You have shipped a production-quality econometric module that improves platform fit or forecast skill. * You can configure and run national scenarios under supervision, with reproducible artefacts and clear QA. * You have delivered at least one client-facing analysis (e.g., housing/DCs, congestion, labour) with defensible results and concise narrative. Required Qualifications * Education: Master?s or PhD in Economics/Econometrics/Statistics (or closely related). * Experience: 5+ years applied econometrics in policy, consulting, research, or industry. * Python proficiency: pandas, numpy, pyarrow/Parquet; econometrics toolkits (statsmodels, and/or Bayesian frameworks such as PyMC); testing (pytest), typing (type hints/pydantic), CLI tooling. * Data skills: SQL (preferably Postgres), data versioning, documentation standards. * Modelling craft: Identification strategies, causal inference, panel/TS methods, robustness checks, uncertainty communication. * Engineering practices: Git, code review, CI/linting, reproducibility discipline. * Eligibility & presence: Legally able to work in Canada; residing in the Toronto/GTA area and available on-site. Assets (Nice to Have) * Experience with agent-based, microsimulation, CGE, or dynamic structural models. * Geospatial analysis (geopandas, shapely, pyproj) and small-area data handling. * HPC/parallelism (e.g., dask, containers, job arrays) and performance profiling. * Domain knowledge in public finance, housing/land use, transport/congestion, labour markets. Training & Growth: Operator Pathway * Structured onboarding in CANCEA?s methods, data governance, and engineering standards. * Progressive run responsibilities from sandbox to full national deployments, with sign-off gates. * Operator certification upon demonstrated competence in scenario design, execution, validation, and incident handling. * Ongoing development in performance & scale, advanced methods, or productisation. *Why Join