Data Science Engineering Lead Manager

3 weeks ago

Montreal, Quebec, Canada Index Exchange Full time

We're looking for a seasoned Engineering Lead Manager to join our Machine Learning and Optimization organization. As a critical member of our team, you'll be responsible for leading 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 every day, and we're looking for someone who can help us achieve our mission of global efficiency and reliability. You'll be working with a talented team of data scientists and machine learning engineers to build intricate systems that deliver great outcomes.

Key Responsibilities:

  • Technical Leadership: You'll chart a technical path for products, systems, and architectures, and be hands-on in the code.
  • People Leadership: You'll work with and lead a team of data scientists and machine learning engineers, and have demonstrated mentorship skills.
  • Handler of Broad Scope: You'll thrive in environments where multiple projects and initiatives are under your ownership, and be able to self-manage your own and your team's time.
  • Driver of Outcomes: You'll 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'll take great pride in the products your team owns and delivers, and take full responsibility for their quality, health, and outcomes.

Requirements:

  • Bachelor's degree or higher in Mathematics, Computer Science, Engineering, or equivalent.
  • Demonstrated leadership and management of 3-10 person teams.
  • 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.

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 – learn more here.

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