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Middle Data Scientist (команда ИЦО)
Builds ML models for personalized loan pricing, using uplift modeling, reinforcement learning, and A/B testing to optimize interest rates and maximize bank profit.
Applications Development Tech Lead Analyst
Leads applications development for Citigroup’s data infrastructure, designing scalable Hadoop/Spark pipelines, Kafka-based real-time streaming, and AI/ML integrations to optimize banking analytics while ensuring compliance and mentoring teams.
Data Engineer
Build and maintain scalable data pipelines using Snowflake, Dagster, dbt, Python, PySpark and SQL to deliver reliable analytics and business data access.
Customer Experience Analytics Analyst
Analyzes customer feedback and interaction data to improve banking experiences using Python, SQL, and ML; builds predictive models and visualizations to guide CX strategy.
Data Engineer
Design and build scalable data pipelines for a global bank using Python, PySpark, and Databricks on AWS/GCP, ensuring high performance, data quality, and regulatory compliance.
Business Analytics Analyst
Analyzes financial/credit card data using SAS/Python to uncover business trends, support policy decisions, and drive data-driven strategies for Citigroup’s credit card operations.
Аналитик данных/Data Analyst
Data Analyst analyzes business data sources, builds analytics and recommendations for an FMCG client, ensuring data accuracy and traceability using SQL, Python, and Power BI.
Senior Data Engineer
Build and maintain scalable AWS data pipelines, integrate diverse data sources, and collaborate with teams to ensure high-quality, governed data for strategic decisions using Python, Spark, and DevOps tools.
Data Engineer
Designs and builds scalable data pipelines and platforms using Microsoft Fabric, Azure Data Factory, Python, PySpark, and SQL to enable analytics and AI for enterprise clients.
Data Scientist
Build and deploy GenAI and ML models using health and wearable data to optimize productivity and personalize health interventions for Singapore’s public sector.
Data Engineer
Builds and maintains scalable data pipelines and cloud-based analytics platforms using Azure/AWS, Databricks, and PySpark to support data-driven solutions for enterprise clients.
Data Engineer
Build and maintain data pipelines using Python, SQL, and PySpark, and deploy ETL workflows on Azure with Snowflake and Power BI for analytics and BI solutions.
Data Architect
Designs and builds scalable enterprise data solutions on Databricks and AWS, including ETL/ELT pipelines, data modeling, and governance using PySpark, Python, and SQL.
Старший инженер данных
Designs and optimizes scalable data pipelines (batch and streaming) using Airflow, Spark, Hadoop, and ClickHouse, while supporting AI/ML services in a corporate AI center.
Expert Data & AI Engineer
Design and maintain data pipelines, lead engineering teams, and collaborate with scientists to build robust data infrastructure for nutrition and sustainability projects using Python, Spark, and cloud platforms.
Дата аналитик в команду Медийной рекламы
Middle Data Analyst in SberAds’ adtech team; analyzes millions of daily ad events to improve product and technical metrics, build dashboards, and drive monetization.
Data Engineer
Builds and optimizes data pipelines using Databricks, PySpark/Scala, and Azure cloud services to transform and govern enterprise data in a lakehouse architecture.
Data Engineer (Databricks) in Development Romania Access & Business Intelligence team (hybrid)
Designs and maintains scalable data pipelines using Azure Databricks, PySpark, and SQL to support business intelligence and reporting for a European cloud services provider.
Principal Data Engineer
Designs and oversees enterprise-scale data pipelines and ontology in Palantir Foundry to power analytics and AI workflows for national-security missions.