Engineering Lead Manager, Data Science

3 weeks ago

Canada Index Exchange Full time
About the Role

We are seeking an experienced Engineering Lead Manager, Data Science to join our Machine Learning and Optimization organization. This critical role will oversee the research, development, and production of our ML and data science algorithms and usage of our data pipelines.

Our systems process over 350 billion auction events, and Index's scale spans the globe, with transactions happening 24x7 in our global data centers. Every second that passes, millions of requests are evaluated across our exchange. To achieve our mission, global efficiency and reliability are absolutely key, as every millisecond quite literally counts in our business.

Key Responsibilities
  • Technical Leadership: You will chart a technical path for products, systems, and architectures, guiding others and representing the technical health and future of the products you support.
  • People Leadership: You will 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.
  • Handler of Broad Scope: You will thrive in environments where multiple projects and initiatives are under your ownership, managing your own and your team's time to achieve the highest impact on the organization.
  • Driver of Outcomes: You will establish a vision or hypothesis, set a direction, and guide your team through execution, using data to inform pivots or to validate assumptions.
  • End-to-End Owner: You will take full responsibility for the products your team owns and delivers, ensuring services remain healthy and that technical debt is regularly paid down.
  • Organizational Coordinator: You will foster a collaborative approach to delivery, leveraging 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 Kubernetes is a plus.
Why You'll Love Working Here
  • 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.

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