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Build predictive models and analytics to optimize Mastercard’s pricing and interchange strategies using Python, SQL, and cloud platforms like Azure.
Build and maintain AI-powered platforms that automate terminology workflows and integrate LLMs/AWS services to support clinical decision-making in healthcare.
Builds and maintains scalable data pipelines and analytics infrastructure to power Iterable's AI-driven customer engagement platform, using Python, SQL, Snowflake, and AWS.
The Field Support Specialist will support the Daikin product line—including FIT Side Discharge, and RA_QA systems—by performing installations, providing technical support, and conducting equipment and controls…
Lead data analysis for a large European online automotive marketplace, integrating marketing data from acquisitions, building dashboards, and optimizing ad spend across Google, Meta, and other platforms.
AI Digital is looking for a Middle/Senior Data Solutions Engineer who will be responsible for designing, scaling, and maintaining robust automation frameworks and operational data integrations across multiple…
Build and optimize a large-scale data platform for structured finance using Spark and Scala, processing terabytes of banking data to support analytics and digital transformation.
Build and deploy generative AI applications using LLMs and multimodal models, integrating them into client systems via APIs and optimizing outputs with prompt engineering and RAG.
Build and run production ML systems on AWS for a regulated casino analytics platform, owning training, deployment, monitoring, and cost control.
Build and optimize LookML models, dashboards, and SQL queries in Looker, integrating with GCP services to deliver analytics solutions for enterprise clients.
Lead a small data-science team in fintech SMB lending, building credit-risk models (PD/LGD) and maintaining a shared analytics platform; day-to-day hands-on coding in Python/SQL plus mentoring and sprint planning.
Designs and maintains scalable ETL/ELT pipelines and data platforms using Snowflake, Python, SQL, AWS, and Airflow to power analytics and AI solutions.
Middle Data Analyst builds ETL pipelines, monitors data quality, and analyzes fintech product metrics using SQL, Python, and Tableau to optimize payment solutions.
Lead analyst in Seoul driving growth for Wise’s South Korea and Japan markets by analyzing customer behavior, optimizing funnels, and shaping product roadmaps to scale money-transfer services.
Lead a machine-learning system that recommends the right Wise product to the right customer at the right moment, owning end-to-end pipelines, models, and A/B tests to drive CRM growth.
Build and maintain data pipelines and ML infrastructure for robotics telemetry at a food-tech company, using BigQuery, Argo Workflows, Kubernetes, and Python.
Analyze debt collection performance, build reports in BI tools, and recommend improvements using SQL, statistics, and Excel.
Build and maintain the data and ML infrastructure for an AI-driven decision-support system, focusing on probabilistic record matching, relevance scoring, and grounded text generation with full provenance tracking.
Design and build scalable Azure data pipelines and Microsoft Fabric analytics solutions using PySpark, SQL, and lakehouse architecture to transform raw data into business insights.
Design and build production-grade data pipelines and systems in Python and T-SQL, using dbt, Airflow/Prefect, and PySpark to deliver reliable, scalable data infrastructure for BI and AI workloads.
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