Name: Data Scientist & Analytics Engineer
Price: 450 EUR
Availability: InStock

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Barcelona (hasta 50 km)

Luzia
Analytics Engineer (Mid -> Senior)
AGENCIAS DE SUBCONTRATACIÓN
septiembre de 2025 - mayo de 2026 (8 meses)
Barcelona, Spain
Analytics engineer, data scientist, and data function owner for an AI omni-tool and companion app
Developed multiple ETL and reverse ETL pipelines for data ingestion and LLM processing via external APIs, providing teams with visibility over quality and impact of different initiatives (e.g., correct usage of conversational context and user memory data in chat interactions)
Re-architected existing data warehouse datasets, improving performance, usability, and scalability of stakeholders' queries, and enabling accurate measurements for key features' business metrics (e.g., LTV and retention for the app subscription service)
Implemented causal inference and unsupervised learning techniques to inform app-level user segmentation and WAU growth initiatives
Scopely
Senior Data Analyst
VIDEOJUEGOS & ANIMACIÓN
mayo de 2024 - septiembre de 2025 (1 año y 4 meses)
Barcelona, Spain
Analytics lead for a cross-functional team of ML and software engineers building automated events and offers generation systems in WWE Champions, Star Trek Fleet Command, and Marvel Strike Force
Defined and executed the team's analytics roadmap, led stakeholder communications, and mentored ML engineers on experimentation, measurement, and analytical best practices
Co-designed an offer type accounting for about 30% of the team's revenue within WWE Champions
Introduced a quarterly holdout group framework to quantify incremental business impact and improve forecasting of the team's initiatives
Led the design and development of a cross-title Looker semantic layer and dashboard, delivering executive visibility into the team's business performance
Popcore
Game Analyst / Data Scientist (Mid -> Senior)
VIDEOJUEGOS & ANIMACIÓN
julio de 2022 - mayo de 2024 (1 año y 10 meses)
Barcelona, Spain
Served both as cross-functional analyst and data scientist, with the main focus being on Ad Monetization
Developed a reporting experimentation app for ad waterfall A/B tests (frontend, backend, and ETL), enabling deeper analyses compared to third-party tools (country/tier splits, confidence intervals, ...)
Analyzed eCPM distributions across multiple dimensions (e.g., days since install) to identify feasible floor values for bid floor experiments
Improved the accuracy of an automated KPI anomaly detection system by redesigning temporal features and country/tier segmentation logic, reducing false positives and increasing stakeholder trust
Recruited, onboarded, and managed a dedicated analyst for the Ad Monetization function, ensuring continued support after my transition to data science