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Senior Data Scientist at Pinterest builds and optimizes CTV ad performance tools using Python, statistics, and ML to automate and measure TV advertising campaigns.
Leads the architecture and technical direction of Pinterest's ads measurement platform, building scalable data pipelines and ensuring reliability for lift studies that help advertisers assess campaign impact.
Designs and builds Pinterest’s exabyte-scale big data storage platform using Apache Iceberg and other open-source systems, leading technical initiatives and collaborating with data, ML/AI, and infrastructure teams.
Leads the design and maintenance of a scalable identity resolution and data governance platform for a CTV advertising platform, using Spark/Scala and AWS to ensure privacy-safe, auditable data pipelines.
Build and scale Pinterest’s performance marketing systems—attribution, bidding, budget optimization, and campaign management—using Python/Java/Scala and SQL to turn ad spend into measurable user growth.
Designs and builds large-scale observability infrastructure (metrics, logs, traces) for Pinterest’s distributed systems, mentors engineers, and sets standards to improve system reliability and developer productivity.
Lead the strategy and build data infrastructure for Pinterest's big data and AI applications at exabyte scale, using open-source technologies like Flink, Spark, and Kubernetes.
Principal engineer leading the strategy and build-out of Pinterest's big data platform, scaling compute engines, job/resource management, scheduling and remote shuffling for petabyte-to-exabyte-scale datasets powering big data and AI applications. Core technologies include Flink, Spark, Kubernetes, Presto, Ray and AWS.
Desde Cas Training estamos en búsqueda de un perfil DATA ENGINEER ANALYST con experiencia en Market Risk para trabajar en uno de nuestros clientes en modalidad 100% remoto. Funciones: Participación en las tareas del…
Senior Data Scientist builds and deploys NLP and machine learning models to extract, classify, and analyze large-scale legal, news, and business data for internal products.
Senior Architect designs Databricks-based big-data pipelines and AI/ML systems, guiding clients in healthcare, finance, and utilities to productionize GenAI and analytics workloads.
Senior backend engineer building scalable brokerage infrastructure for Japan’s financial markets, integrating with exchanges, regulators, and accounting systems while collaborating with global teams.
Build and maintain scalable brokerage infrastructure for Japan’s financial markets, integrating with local exchanges, regulators, and accounting systems while collaborating with global teams.
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Build Alpaca's Advisory Suite services (block trading, portfolio management, IRA) as a full-stack engineer in a small, early-stage-team environment, requiring deep expertise in distributed systems, low-latency optimization, and trading/exchange systems (OMS) using low- and high-level languages like C/C++, Go, Rust, and Python.
Designs and advises on scalable data pipelines and lakehouse architectures using Databricks, Snowflake, or Microsoft Fabric, enabling AI/ML and GenAI workloads for enterprise clients.
Design and lead scalable data systems (pipelines, warehouses, lakes) using cloud platforms like AWS/Azure/GCP, Databricks, and Snowflake to enable data-driven decisions for clients.
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.
Build and scale data pipelines, ETL workflows, and warehouse models to power analytics and reporting at DoorDash.
Build and scale Kotlin-based microservices for Wolt’s merchant platform, working with PostgreSQL, Kafka, and AWS in Helsinki or Stockholm.
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