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Office-only workEnglish is required
Description
Fetcherr builds responsible AI that turns market complexity into measurable profit growth. Its proprietary Market Model delivers 96% forecast accuracy and real‑time decision intelligence for commercial teams. The company serves global aviation partners such as Delta and Virgin Atlantic. The Data Scientist will design causal‑uplift frameworks and translate data into actionable pricing insights.
Responsibilities
Design and operationalize causal‑uplift measurement frameworks to quantify the incremental impact of pricing models
Lead data discovery and translate complex multidimensional data into actionable insights related to pricing algorithms
Conduct research and experimentation to develop novel uplift measurement and A/B testing approaches
Collaborate with revenue managers, data analysts and data engineers to encode airline business logic into modeling pipelines
Communicate findings through storytelling and visualizations for technical and non‑technical stakeholders
Requirements
At least 5 years of hands‑on data analytics and science experience with proven record of leveraging modeling into business insights
Proficient in Python, including pandas, numpy, scikit‑learn and statsmodels
Ability to assess performance and impact of ML‑powered systems from a business perspective
Strong communication and storytelling skills for both technical and non‑technical audiences
Experience translating complex client requirements into actionable insights and presenting findings to stakeholders
Capability to propose innovative solutions to non‑trivial challenges
Team player ready to meet aggressive timelines and motivate the team
B.Sc. or Master's degree in Economics, Statistics, Math or similar (PhD a plus)
Proficient in SQL (BigQuery/Dataform) and Git
Conditions
Full‑time office position in Warsaw, Poland
Competitive salary with performance bonuses
Access to advanced AI pricing platform
PythonSQL (BigQuery)Gitaviation
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