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Senior Data Scientist builds and optimizes scalable ETL pipelines with PySpark and Databricks, designs ML models for retail demand forecasting, and collaborates with stakeholders to deploy production-grade forecasting systems.
Builds and maintains Python-based automation workflows and REST API integrations to connect enterprise security and operational systems, with a focus on data parsing and task automation.
Build and deploy ML models, data pipelines, and dashboards to drive R&D insights using Python, SQL, and cloud tools like AWS/Azure.
Builds and optimizes data pipelines and microservices using Python, Java/Spring Boot, and cloud-native tools like Airflow, Snowflake, and Azure.
Builds and maintains Python-based quantitative models for multi-asset portfolio construction, risk analysis, and performance attribution, and creates Dash dashboards to visualize fund metrics.
Analyze supply-chain data, build Power BI dashboards, and ensure global trade compliance for a multinational manufacturer.
Designs and validates machine learning models for laboratory data analysis, focusing on chromatography, mass spectrometry, and scientific workflows.
Lead a team building high-performance analytics systems for equities trading using KDB+/Q and Python, processing real-time market data at scale.
Builds ML models to predict and reduce customer churn for Warner Bros. Discovery’s streaming services using Python, SQL, and PySpark.
Designs, deploys, and maintains cloud infrastructure on AWS/Azure, automates deployments, and ensures security and compliance while collaborating with developers.
Build and deploy ML models for real-time pricing and market-making in sports betting, using Python and distributed systems to drive trading performance and insights.
Build and maintain cloud data pipelines in AWS (Redshift, S3, EMR) using Python (Pandas, PySpark) to keep global healthcare data flowing reliably for 85+ markets.
Build and scale AI-powered data pipelines that turn messy environmental data into clean, business-ready outputs using LLMs, vector search, and Python.
Senior Software Engineer builds and scales the fintech platform’s infrastructure using Python, Django, and AWS, ensuring high performance and reliability for wealth management systems.
Lead the design and development of enterprise Power BI dashboards for project profitability, resource utilization, and financial analytics using DAX, Power Query, and star-schema modeling.
Build analytics tools and dashboards on Palantir Foundry to turn supply-chain data into faster decisions; start with guided tasks and grow into full solutions while embedded with business teams.
Design and build cloud-based data pipelines and ETL workflows using Spark, Kafka, and cloud platforms to support analytics and reporting for a financial-services company.
Job Title: Machine Learning Research Engineer - Central Technology Requisition ID: R027933 Job Description: Your Mission The Machine Learning Research Engineer will detect, prevent, and respond to cheating in…
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