Peak Power Careers

Peak Power Careers

Senior Data Scientist

Toronto, Canada · Senior

Sponsorship not specified$120k-$150kDetected 25 days ago
PythonPostgreSQLAWSDockerTerraformTemporalMachine LearningSparkAirflowData EngineeringData ScienceNLPMLOpsAI OrchestrationForecastingCustomer SuccessCommunicationProblem SolvingMentoring

About the role

  • As a senior applied ML practitioner, you will be responsible for both the data systems and the machine learning workflows that produce reliable forecasts, insights, and operational decisions for our stakeholders.
  • We're passionate about your growth, offering exciting opportunities for conferences, continuous learning, and professional development.
  • Work on a cutting-edge platform built from the ground up with no tech debt, leveraging modern technology, best practices, and clear documentation with detailed flowcharts.

Responsibilities

  • The Opportunity Reporting to the Director of Software Engineering, you will work closely with Software Engineers, Product, Operations, and business stakeholders to own the full lifecycle of fore casting and optimization models: from data pipelines and feature engineering through model training, deployment, monitoring, and production support.
  • We're building something that will have a lasting, positive impact.
  • Our new Senior Data Scientist / ML Engineer will: Deliver.
  • Develop, train, tune, and operate Temporal Fusion Transformer models and other time-series forecasting approaches for energy market, grid, asset, and customer use cases.
  • Build and maintain Airflow DAGs that orchestrate data ingestion, model training, batch inference, validation, and downstream reporting workflows.
  • Diagnose data quality, model performance, and pipeline reliability issues; implement durable fixes so problems only happen once.
  • You have strong analytical and problem-solving skills to find solutions to complex problems and drive high-risk initiatives to completion on time, on budget.
  • Diagnose and troubleshoot problems; implement changes so problems only happen once Support disaster recovery and operational readiness for critical data pipelines, model workflows, and production forecasting systems.
  • You will monitor and report on progress, methodically evaluate processes and systems to improve efficiency; and implement processes that provide transparency and tracking.
  • Create dashboards, alerts, and documentation that make production data and ML systems understandable to engineering, product, and business stakeholders.

Requirements

  • You have strong interpersonal and communication skills to keep everyone on the same page when working cross-functionally.

Nice to have

  • Excels when collaborating with a small team using an agile process Great communication and collaborative problem-solving skills So why Peak Power?
  • We're focused on solving problems that impact energy markets both locally and around the world.
  • To work with us is not only to work with an exciting company, but to also be on the cutting edge of the global transition to distributed, clean, and carbon-free energy.

Skills

  • Stay current with practical advances in time-series forecasting, MLOps, cloud data platforms, and energy analytics.

Compensation

  • $120k-$150k

Benefits

  • Deploy machine learning models into production using practical MLOps patterns, including reproducible training workflows, model versioning, inference pipelines, monitoring, and rollback strategies.
  • Monitor and report on data pipeline health, data quality, model performance, forecast accuracy, drift, and production incidents.

Company info

  • Justice, Equity, Diversity, and Inclusion (JEDI).
  • We believe in driving a better energy future through focused efforts towards understanding and improving Diversity, Equity, and Inclusion.
  • You're Covered.
  • Comprehensive benefits from Day 1.
  • Work/Life Balance.
  • Generous and flexible vacation and sick/wellness days to make time for personal appointments and taking a mental health break.
  • We're Listening.
  • We take internal engagement surveys seriously and make actionable changes based on feedback.
  • Keep Learning.
  • Sharpen your skills through continuous development paid for by Peak Power.
  • Fun activities including team events and game nights to stay connected both virtually and in person including fun Slack channels that celebrate our love of food, fitness, fashion, furry friends, and everything in between!
  • Long Weekends Start Early.
  • Beat the traffic to the cottage or curl up with your favourite book, start early with half days off before long weekends.
  • Health & Wellness.
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This listing is sourced directly from Peak Power Careers's careers page and normalized into a canonical job model.