Data Science Engineering Lead Manager

1 month ago


Toronto, Ontario, Canada Index Exchange Full time
About the Role

We are seeking an Engineering Lead Manager, Data Science to join our Machine Learning and Optimization organization.



Responsibilities


  • Lead a team of data scientists and machine learning engineers to develop and implement ML and data science algorithms and usage of data pipelines.
  • Chart a technical path for products, systems, and architectures, representing the technical health and future of the products you support.
  • Work with and lead a team of data scientists and machine learning engineers, demonstrating mentorship skills and setting a technical vision to challenge your team in a way that empowers them to have incredible impact.
  • Manage multiple projects and initiatives, prioritizing tasks to achieve the highest impact on the organization and proactively reporting progress and delays to drive coordination.
  • Establish a vision or hypothesis, setting a direction and guiding your team through execution, using data to inform pivots or to validate assumptions, and partnering with the Product team to set a roadmap, establish goals and forecasts to achieve both technical and business outcomes.
  • Take full responsibility for the quality, health, and outcomes of the products your team owns, leading your team in ensuring services remain healthy and that technical debt is regularly paid down.
  • Be the first point of contact for your team, your products, and your delivery plan, fostering a collaborative approach to delivery and leveraging those relationships to unblock dependencies, and celebrating successes by representing your team's achievements to the rest of the organization.


Requirements


  • Bachelor's degree or higher in Mathematics, Computer Science, Engineering, or equivalent.
  • Demonstrated leadership and management of 3-10 person teams.
  • A passion for cutting edge technologies, leading teams, and nurturing talent development among your team(s).
  • Extensive experience in visualization and explanatory articulation of data science approaches, test and production results.
  • Experience with ML and data science platforms and technologies.
  • Experience with building and managing ML data pipeline to support data science and machine learning initiatives.
  • Experience with data preparation and cleaning as well as data enrichment.
  • Knowledge of big data stack including Kafka, Hadoop, Spark, Scala, and Airflow, as well as data warehouse technologies such as Vertica.
  • Knowledge of BI tools like Looker and/or Redash will be very helpful.
  • Experience with Docker and Kubernates is a plus.


What We Offer


  • Comprehensive health, dental, and vision plans at no cost to you.
  • Time off and flexible work schedules.
  • Retirement plan with a 5% company match.
  • Stock options and equity packages.
  • Generous parental leave.
  • Monthly wellness stipend plus fitness discounts and quarterly wellness group activities.
  • Community engagement opportunities and donation-matching program.
  • Annual virtual company retreats and regular community-led team events.
  • One day off per year to volunteer.
  • A workplace that supports a diverse, equitable, and inclusive environment – learn more here.

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