Senior Data Developer, Scheduling & Forecasting (ServiceOS) About Dialogue Dialogue is the #1 virtual care provider in Canada. By developing our Integrated Health Platform, we provide exceptional online health and wellness programs (primary care, mental health, iCBT, EAP, and wellness) to organizations that want to improve the wellness of their employees and families. When it comes to our work, we set the bar high. Together, we’re transforming health and helping millions improve their well-being. We’re firm believers that great people don’t settle on: Impact Community Growth Feel like you can make a difference? Good news, we saved you a seat! Come as you are. As a proud equal-opportunity employer, Dialogue is dedicated to creating a diverse and inclusive workplace for everyone. Qualified applicants will be considered regardless of citizenship, ethnicity, race, colour, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status. Applicants who require specialized accommodation are encouraged to contact AI Disclosure Statement To ensure an efficient and fair review process, we utilize artificial intelligence tools to assist in the initial screening and assessment of applicants for this role. Dialogue only contacts candidates through official @dialogue.co email addresses. We never request payment, gift cards, or personal financial information at any stage of hiring, and we never extend an offer without a structured interview process. All open roles are listed exclusively at dialogue.co/en/careers. If you receive a suspicious communication claiming to be from Dialogue, do not respond — report it to and verify the role on our official careers page. Your role as Senior Data Developer We are seeking a Senior Data Developer to bring intelligence, automation, and resilience to Dialogue’s scheduling and appointment-booking ecosystem. You will lead the technical implementation of our next-generation forecasting, continuous-learning, and optimization pipelines—powering the systems that match patients with the right clinician across every Canadian jurisdiction. This role sits at the intersection of data engineering, applied ML, and backend production. You will be responsible for building the foundations that allow our team to continuously re‑train ML models, iterate quickly on forecasting and optimization logic, and ship reliable inference flows that support real‑time decision‑making. About the Scheduling and Forecasting Team As Canada's leading virtual care provider, Dialogue is committed to helping millions of individuals improve their health and well-being. The Scheduling & Forecasting team powers the operational backbone that makes this possible: we build and run the systems that schedule our healthcare providers, forecast demand, and match patients with the right clinician across every Canadian jurisdiction. Our work directly influences SLAs, occupancy rates, provider workload balance, and the reduction of manual administrative effort across the company. What you’ll be doing As a Senior Data Developer you will serve as the glue between backend engineering, data science, and operations—ensuring that forecasting models, optimization solvers, and data-driven decision flows are not just theoretically correct, but dependable and observable in production. You will design and maintain the pipelines, data architectures, and experimentation tooling that enable rapid iteration, high reliability, and continuous improvement of our scheduling intelligence. Day‑to‑day you will: Build and maintain continuous learning pipelines and automated training pipelines for ML forecasting models, incorporating new data and guardrails for performance drift. Create reproducible CI workflows for both ML models and CP‑SAT solver configurations, including automated regression checks and benchmarking. Develop and own real-time and batch inference pipelines that power appointment‑demand forecasting and provider‑scheduling decisions. Implement robust observability—structured logging, metrics, tracing, and alerting to ensure models and solvers behave as expected in production. Enable a tight research loop by designing tooling and data flows that allow data scientists and engineers to experiment, compare model variants, and deploy improvements with confidence. We’d love to hear from you if you have Have experience building and operationalizing ML training and inference pipelines using modern data engineering and MLOps tooling. Have worked with mathematical optimization tools (e.g., OR‑Tools/CP‑SAT, Pyomo, Gurobi) and understand how to validate, benchmark, and productionize solver logic. Bring strong software engineering fundamentals—version control, CI/CD, testing, observability, and infrastructure‑as‑code. Are comfortable collaborating closely with data scientists, backend engineers, and operational stakeholders in a cross‑functional product environment. Care about reliability and correctness as much as velocity, and enjoy building systems that are simple, maintainable, and measurable. Thrive in environments where your work directly powers real‑world operational decisions. This role is a key technical pillar in transforming Dialogue’s scheduling intelligence—from manual processes and heuristic rules to a scalable, data‑driven capability that enables highly reliable, efficient, and fair provider scheduling. Your work will help deliver high‑quality virtual care at scale by ensuring our forecasting and optimization systems are accurate, fast, and production‑ready. Please note that as we serve customers across Canada, bilingualism is an asset for this position . You may be required to communicate in French and English . At Dialogue, your well-being is our priority Taking care of others also means taking care of our team! Depending on your role and employment status , you could have access to the following benefits: Access to the Dialogue app and virtual mental health support for you and your family Fully funded insurance, a health spending account, dental coverage, and fitness reimbursement 4 weeks vacation, 9 wellness days, and 1 volunteer day Hybrid work: 3 days/week in our Montreal or Toronto offices, excluding remote roles Work abroad up to 4 weeks/year Incentive plans, referral bonuses & RRSP matching Learning via Coursera, external training budget & mentorship #J-18808-Ljbffr