Data Science Engineering Lead
1 month ago
We're seeking a seasoned Engineering Manager to lead our Data Science team. As a critical member of our Machine Learning and Optimization organization, you'll be responsible for the research, development, and production of our ML and data science algorithms and usage of our data pipelines.
Key Responsibilities:
- Represent the technical health and future of the products you support, applying industry best practices towards designs and implementations.
- 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 under your ownership, prioritizing tasks and reporting progress to drive coordination.
- Partner with the Product team to set a roadmap, establish goals, and forecasts to achieve both technical and business outcomes.
You'll thrive in an environment where multiple projects and initiatives are under your ownership, with a focus on achieving the highest impact on the organization. Your ability to self-manage your own and your team's time will be essential in delivering high-quality results.
End-to-End OwnershipYou'll take great pride in the products your team owns and delivers, taking full responsibility for their quality, health, and outcomes. Your leadership will ensure services remain healthy, and technical debt is regularly paid down.
Requirements:
- Bachelor's degree or higher in Mathematics, Computer Science, Engineering, or equivalent.
- Extensive experience in visualization and explanatory articulation of data science approaches, test and production results.
- Experience with ML and data science platforms and technologies.
- 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.
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