Role Description We are looking for an experienced Senior Data Scientist to join a high-impact Ads Data Science team focused on scaling and optimizing a rapidly growing advertising marketplace. Advertising is a core revenue driver, and this role sits at the heart of building a high-performance, data-driven marketplace ecosystem — where advertisers, users, and platform dynamics interact in real time. You will work on problems such as auction dynamics, pricing, targeting, relevance, and marketplace efficiency, leveraging large-scale data and advanced modeling techniques to drive measurable business impact. Commitments Required: 8 hours per day with an overlap of 4 hours with PST. Employment type: Contractor or FTE Duration of contract: long-term, but with 3-month increments based on performance Responsibilities - Design and apply data science and machine learning solutions to improve ads marketplace performance - Analyze large-scale datasets to uncover patterns in marketplace behavior (bidding, pricing, engagement, conversion) - Develop models for prediction, anomaly detection, and optimization - Define and track core marketplace metrics (supply/demand balance, auction efficiency, advertiser value) - Build data assets (tables, dashboards, self-serve tools) to empower product and engineering teams - Partner with Product and Engineering to translate marketplace challenges into DS solutions - Design and analyze A/B experiments and causal inference frameworks to validate impact - Communicate insights and recommendations to cross-functional stakeholders Qualifications - 5+ years of experience in Data Science, Machine Learning, or Applied Statistics - Strong experience working on marketplace platforms (e.g., ads platforms, ride-sharing, e-commerce, or similar two-sided ecosystems) - Deep understanding of marketplace dynamics (auction systems, pricing, supply/demand, ranking, or allocation problems) - Strong foundation in statistical modeling, machine learning, and experimental design - Experience with large-scale data processing (e.g., Spark, Hadoop, Hive, or BigQuery) - Advanced proficiency in SQL and working with large relational datasets - Strong programming skills in Python (preferred) or R - Experience building and interpreting A/B tests and causal inference models - Ability to work with cross-functional teams and influence product decisions through data Nice to Have - Experience in online advertising / ad tech ecosystems - Experience with auction optimization, bidding strategies, or ranking systems - Familiarity with real-time systems or large-scale recommendation systems - Experience building self-serve analytics tools or data platforms

• Design and apply **data science and machine learning solutions** to improve ads marketplace performance • Analyze large-scale datasets to uncover **patterns in marketplace behavior** (bidding, pricing, engagement, conversion) • Develop models for **prediction, anomaly detection, and optimization** • Define and track **core marketplace metrics** (supply/demand balance, auction efficiency, advertiser value) • Build **data assets** (tables, dashboards, self-serve tools) to empower product and engineering teams • Partner with Product and Engineering to **translate marketplace challenges into DS solutions** • Design and analyze **A/B experiments and causal inference frameworks** to validate impact • Communicate insights and recommendations to **cross-functional stakeholders**

• Lead and build a new analytics team that drives product growth through data-driven insights and AI-powered analysis. • Define and execute the analytics roadmap, guiding proactive analyses to uncover growth opportunities. • Build and mentor a high-performing team of analysts, establishing excellence in SQL, visualization, and statistical methods. • Champion AI integration to optimize analytical workflows and unlock deeper product insights. • Partner closely with Product Managers as their primary data ally, translating complex findings into clear, actionable recommendations. • Collaborate with data engineers and implementation specialists to prioritize tracking, define schemas, and guide data modeling. • Enable broader analytics teams through training on behavioral data usage, querying best practices, and dataset documentation.

Role Description ¿Tenés el ADN para transformar datos en decisiones de alto impacto? En el equipo de Partner Communications, buscamos profesionales con mentalidad estratégica y técnica para potenciar la performance de nuestros comercios. Tu misión será liderar la inteligencia de datos detrás de nuestras comunicaciones, automatizando procesos y asegurando que cada interacción genere valor real para el negocio. - Liderar el diseño e implementación de nuestra metodología de atribución multi-touchpoint (MTA) para own-channels: - Actuar como referente técnico en la migración regional hacia un CRM único (Insider): - Desarrollar el "Intelligent Engagement Model" para optimizar la experiencia del partner: - Evolucionar la arquitectura de datos y el ecosistema de reporting de Partner Comms: - Impulsar la innovación mediante soluciones automatizadas y análisis predictivo: Qualifications - Profesionales de Economía, Ingeniería, Estadística, Sistemas, Datos, o carreras con fuerte enfoque en análisis de negocios. - Al menos 2 años de experiencia liderando proyectos de estrategia de negocio o análisis de datos, con capacidad demostrada para conectar métricas técnicas con objetivos comerciales. - Manejo avanzado de SQL / BigQuery (excluyente) y herramientas de visualización como Tableau, Looker o Power BI. - Manejo avanzado de Excel, incluyendo modelado de datos, fórmulas complejas y Power Pivot. - Nivel de inglés avanzado, con fluidez para interactuar y colaborar en entornos internacionales y equipos globales. Requirements - Crear valor para un gran ecosistema de negocio. - Jugar en equipo, siempre: Pensar soluciones y construir colaborativamente, con buena energía. - Moverte a la velocidad de tus ideas y emprender. - Aprender, desarrollarte y reinventarte: Permitirte equivocarte, aprender haciendo, iterar y adaptarte a los cambios. - Generar impacto positivo en las personas y el planeta. - Trabajar de otra manera, en #ModoPeYa: no importa el tiempo ni el lugar desde donde trabajas, lo que importa es la agilidad con la que tomas decisiones, la flexibilidad para adaptarte y los resultados que alcanzas en equipo. Benefits - La diversidad de talento potencia nuestra Cultura y nuestra organización. - Promovemos la creación de equipos diversos e inclusivos que puedan aportar diferentes perspectivas a PedidosYa. - Nuestras oportunidades laborales están abiertas a todas las personas, independientemente de su identidad de género, orientación sexual, origen étnico, religión, edad, discapacidad y/o otras características individuales. - En caso de necesitar algún ajuste razonable o accesibilidad particular para tener la entrevista, por favor no dejes de aclararlo en tu postulación. - Siéntete libre de indicarnos tus pronombres (él/ella/elle) desde el primer contacto.