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Algorithm Optimization Team Lead
Не указаноПолная занятостьData EngineeringEnterprise Software
Lead a team building data infrastructure and optimization systems that turn market predictions into pricing recommendations. Combine hands-on technical work with architecture ownership and people management.
Обязанности
- Lead data scientists and data engineers building scalable, high-performance data pipelines and infrastructure.
- Design and maintain batch and streaming distributed data workflows.
- Set practices for data quality, validation, testing, and observability.
- Own and evolve data architecture in line with product and business goals.
- Manage sprint planning, task breakdown, code reviews, and performance feedback.
- Contribute hands-on to development and architecture decisions.
- Recruit, mentor, and develop the team.
Требования
- At least 4 years of data science experience, including strong Python, advanced SQL, and data modeling skills.
- At least 3 years leading and managing data engineers.
- Experience designing and maintaining large-scale data platforms handling hundreds of terabytes.
- Expertise with orchestration tools such as Airflow, Prefect, or Dagster.
- Experience with a cloud platform; GCP preferred, with AWS or Azure acceptable.
- Familiarity with Docker.
- Bachelor’s or master’s degree in mathematics, physics, statistics, or computer science.
- Fluent spoken and written English.
Будет плюсом
- Experience with Google Cloud tools such as BigQuery, Dataflow, and Pub/Sub.
- Background with machine-learning pipelines or data science teams.
- Familiarity with data contracts, lineage, and versioning tools.
- Knowledge of data structures and algorithms.
- Experience optimizing pipeline and database performance and cost.
- Experience with CI/CD and distributed processing frameworks such as Apache Beam or Spark.
- Exposure to airline, pricing, or GDS systems.