Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Fetcherr

Data Scientist

Fetcherr

. Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models .

Posted 11/11/2026full-timeWarsaw • PolandMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics and science, with a strong focus on causal-uplift measurement frameworks and pricing algorithms. Proficient in translating complex data insights into actionable strategies for airline clients, while effectively communicating findings to both technical and non-technical stakeholders.

Highest-signal resume keywords
Data Analytics & Science ExperienceProficiency In PythonExperience With Causal InferenceProficiency In SQLDomain Knowledge In Airlines

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Causal-Uplift MeasurementA/B TestingPricing AlgorithmsAnomaly DetectionMathematical Optimization
Soft Skills
Communication SkillsTeam-Player MindsetProblem-Solving
Tools & Technologies
PandasNumpyScikitStatsmodelsBigQueryDataformGCP
Certifications & Qualifications
B.Sc. Or Master’s Degree In EconomyPhD
Industry Keywords
AirlinesTransportationLogisticsVacations

Tech Stack

Tools & technologies
BigQueryGoogle Cloud PlatformNumpyPandasPythonSQL

About the role

Key responsibilities & impact
  • 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 and their outcomes
  • Conduct research and experimentation on novel approaches to uplift measurement and A/B testing
  • Collaborate with revenue managers, data analysts, and data engineers to encode airline business logic into modeling and technical pipelines
  • Translate the AI pricing engine's statistical analysis into explanations, visualizations, and actionable insights for airline clients
  • Explain changes in metrics and answer client questions with supporting charts

Requirements

What you’ll need
  • At least 5 years of hands-on data analytics & science experience with proven record of leveraging modeling into business insights
  • Proficiency in Python, including pandas, numpy, scikit, and statsmodels
  • Ability to assess the performance and impact of ML-powered systems from a business-environment perspective
  • Ability to communicate and tell stories to technical and non-technical audiences, including C-level executives
  • Experience translating complex client requirements into actionable insights and presenting findings and strategies to stakeholders
  • Ability to recommend innovative solutions and approaches to non-trivial challenges
  • Team-player mindset and readiness to help meet aggressive timelines and product deadlines
  • B.Sc. or Master’s degree in Economy, Statistics, Math, or similar
  • Proficiency in SQL and git
  • Domain knowledge in airlines, transportation, logistics, or vacations is advantageous
  • Experience with causal inference, uplift modeling, anomaly detection, or pricing algorithms is advantageous
  • Knowledge of mathematical optimization is advantageous
  • PhD is a plus
  • BigQuery, Dataform, or GCP experience is a plus