Data Science Team Lead

Fetcherr; Warszawa; On-site; PLN 300,000 - 480,000; Full time

Job summary

Fetcherr, a company building responsible AI for pricing and demand predictions, seeks a Data Science Team Lead to drive technical leadership and people management. You will guide data scientists and data engineers to build robust, scalable pipelines powering real-time pricing decisions.

You will own architecture, oversee batch and streaming workflows, ensure data quality and observability, and recruit and mentor the team.

Qualifications

• Proven experience leading and managing a data team.
• Experience designing and maintaining large-scale data platforms.
• Strong Python and SQL skills with data modeling experience.
• Experience with Airflow, Prefect, or Dagster.

Responsibilities

• Lead data science and data engineering efforts for pricing and revenue decisions.
• Build and scale data infrastructure for real-time analytics.
• Mentor team and drive architecture decisions.
• Oversee data pipelines, validation, testing, and observability.
• Collaborate with stakeholders to align data products with business goals.

Skills

Data science leadership

Python programming

SQL

Mentorship

Communication

Education

BSc/MSc in Mathematics/ Physics/ statistics/ Computer Science

Tools

Airflow

Prefect

Dagster

Docker

GCP BigQuery

Spark

Job description

Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul.

We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

The Price Optimization (PO) team

We work with large-scale customer data and market predictions — like demand forecasts — to drive revenue management decisions that actually move the needle.

At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market — weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies — to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything.

You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team.

Responsibilities

• 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.

Requirements

• 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 engineers (people management is 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 — GCP preferred (AWS/Azure acceptable)
• Familiarity with Docker
• Strong communication, mentorship, and collaboration skills
• BSc/MSc in Mathematics/ physics/ statistics/ 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