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Lead a team to build and maintain data products and analytics infrastructure for B2B marketing analytics, using Python, Spark, Snowflake, and cloud platforms to enable data-driven decisions.
Build and maintain Shopee’s big-data infrastructure, including storage, batch/real-time compute, and OLAP engines, to power analytics and reporting for business teams.
Build and maintain secure software systems for a Singaporean intelligence agency, using languages like Java/Python and big-data tools to support intelligence assessments and national security.
Build and optimize large-scale data pipelines using Apache Spark and Scala/Python to power financial IT systems, ensuring scalability and reliability for cross-country operations.
Analyze and improve Similarweb’s digital intelligence platform by processing large datasets, validating data sources, and refining ML algorithms with Python, SQL, and big-data tools.
Data Scientist builds ML models and data pipelines to turn military intelligence data into actionable insights for Air Force Special Operations Command using Python, R, Spark, and cloud platforms.
Build and scale Quantexa’s Contextual Decision Intelligence platform in Scala, processing vast datasets to detect fraud and financial crime using distributed microservices and event-driven architectures.
Designs and builds scalable GCP data pipelines and architectures, focusing on security, compliance, and ELT workflows to turn raw data into business insights.
Lead a team to design, build, and optimize data pipelines and infrastructure for a large bank, using Hadoop, Spark, Kafka, and AWS services to process and monetize financial data.
Czym będziesz się zajmować? Kluczowe wymagania Doświadczenie: Min. 3 lata w Data Science, samodzielne prowadzenie projektów analitycznych "od A do Z". Technologie: Bardzo dobry Python (biblioteki ML i Data),…
Build and operate PayPay’s AWS-based data infrastructure using Terraform and Databricks, ensuring reliability, security, and smooth data workloads for the fintech platform.
Design and build end-to-end data pipelines and analytics infrastructure using Python, Spark, Iceberg, and dbt to enable enterprise reporting and decision-making across cloud and on-premise systems.
Analyzes large datasets using Python, SQL, and big-data tools (Hadoop, PySpark) to run A/B tests and recommend process improvements for an auto-finance division.
Build and maintain large-scale databases and ETL pipelines for a global finance team using Sybase, DB2, Greenplum, Hadoop, and MongoDB.
Builds and optimizes data pipelines, ETL processes, and analytical data stores using Python, Spark, ClickHouse, and PostgreSQL for a large retail-tech company.
Build and maintain a full-stack Java/Spring and React/TypeScript application hosted on AWS, designing microservices and REST APIs while ensuring responsive, cross-browser frontend delivery.
Analyzes retail data to build ML models and dashboards that guide pricing, inventory and marketing decisions using Python, SQL and tools like TensorFlow and Tableau.
Design and maintain OSS performance analytics platforms (InfoVista, AtivaNet, Kibana) for Vodafone’s mobile networks, building dashboards and KPIs to monitor 2G/3G/4G/5G infrastructure.
Analyzes large datasets using Python and SQL to optimize auto-loan processes, runs A/B tests, and builds data pipelines on Hadoop/Spark.
Design and build scalable data pipelines and platforms to power analytics and AI systems using cloud technologies like AWS, Databricks, and Snowflake.
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