Data Science Team Lead

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The core product is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence. The technology is industry-agnostic and deployed in global aviation with corporate partners such as Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Price Optimization team focuses on building and maintaining the decision-making engine that uses large-scale customer and market data for revenue management decisions.

• Proven experience as a Data Scientist.
• Proven experience designing and maintaining large-scale data platforms (hundreds of TBs).
• 3+ years of proven experience leading and managing a team of data science / data engineers (people management required).
• 4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience.
• Expertise with data orchestration tools (Airflow, Prefect, or Dagster).
• Cloud platform experience — Google Cloud Platform preferred (AWS/Azure acceptable).
• Familiarity with Docker.
• Strong communication, mentorship, and collaboration skills.
• BSc/MSc in Mathematics, Physics, Statistics, or Computer Science.
• Fluent English (spoken and written).

Nice to have:

• Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub).
• Background working with ML pipelines or data science teams.
• Understanding of data contracts, lineage, and versioning tools.
• Knowledge of data structures and algorithms.
• Experience optimizing pipelines and databases for performance and cost.
• CI/CD pipelines (GitHub/GitLab).
• Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar).
• Exposure to airline, pricing, or GDS systems.

• Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
• Design, build, and maintain distributed data processing workflows (batch & streaming).
• Drive best practices for data quality, validation, testing, and observability.
• Own and evolve Fetcherr’s data architecture in alignment with business and product goals.
• Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
• Contribute hands-on to key development tasks and architecture decisions.
• Recruit, mentor, and grow the data science engineering team.

Please be informed that the data controller is Fetcherr (hereinafter "controller"). You have the right to request access to your personal data, their rectification, erasure or restriction of processing, the right to object to processing, as well as the right to data portability and to lodge a complaint to the supervisory authority. Personal data will be processed for the purpose of the recruitment process. Provision of data to the extent resulting from the Act of 26 June 1974 Labour Code is mandatory. In the remaining scope, providing data is voluntary. Refusal to provide mandatory data may result in the impossibility to carry out the recruitment process. The Administrator processes mandatory data on the basis of a legal obligation incumbent upon him/her, while with regard to additional data, the basis for processing is consent. Personal data will be processed until the recruitment procedure is completed and for the period of the possibility of asserting potential claims, and in the case of consent to participate in future recruitment procedures - until the withdrawal of such consent. Consent to the processing of personal data can be withdrawn at any time. The recipient of the data is the Rocket Jobs service and other entities to whom we have entrusted the processing of data in connection with recruitment.