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Principal Data Scientist at Atlassian partners with business leaders to turn data into insights and visualizations that drive product and strategy decisions using SQL, Python/R, and visualization tools.
Principal Data Scientist builds ML models and AI tools to guide product strategy for Atlassian’s Service Collection, mentors junior scientists, and partners with engineering and product teams.
Overview As a Principal Data Scientist on the Global Experiences Data Science team, you'll sit at the intersection of cutting-edge analytics and Atlassian's most customer-facing products. Reporting to the…
Build ML/NLP/LLM models and statistical analyses to detect fraud, validate transactions, and improve seller compliance for Amazon’s global ecommerce platform.
Build and optimize ML models for crypto marketing: predict user behavior, forecast LTV, and allocate ad spend to drive growth on Binance’s exchange platform.
Customer Data Scientist at Amplitude helping APJ customers design, run, and scale A/B tests and experimentation programs using Statsig’s platform and statistical best practices.
Build ML models to personalize GoPay’s features and recommendations, working with product and engineering teams to boost user engagement.
Designs and trains multilingual large language models while ensuring responsible AI behavior and collaborating with product and engineering teams.
Analyze large datasets to extract insights, solve business challenges, and recommend data-driven strategies using statistics and modeling.
Build and deploy AI models that solve real-world healthcare challenges, collaborating with clinicians to turn data into production-ready clinical solutions.
Lead a team to build and deploy predictive/prescriptive models using Python, Spark, and ML/AI, driving data-driven decisions and scalable analytics solutions.
Build ML models and real-time pipelines to extract insights from clinical sensor data, using time-series analysis and AI techniques like prompt engineering and RAG.
Builds ML models (classification, fraud detection) and analyzes user behavior to guide product decisions, collaborating with engineers and product owners.
Build and validate AI models, analyze data, and create dashboards to support AI-driven features in a fintech-like product company based in Singapore.
Analyze user behavior and product metrics to guide e-commerce product decisions, build dashboards, and develop ML models for user behavior prediction.
Senior Data Scientist builds predictive and prescriptive models using Python, SQL, and Spark to extract insights and automate large-scale analytics for business decisions at HPE.
Build and deploy ML models (propensity, recommendation, LTV) on AWS SageMaker and use LLMs for personalisation and analytics to drive revenue growth in a digital bank.
Lead revenue analytics and data science initiatives for Qatar Airways in Doha, using ML to optimize airline pricing and revenue performance.
Senior consultant builds and maintains AWS-based MLOps pipelines for a quant hedge fund, migrating researchers from an on-premise grid to cloud compute while ensuring fast, interactive workflows.
Senior Machine Learning Engineer / Data Scientist | Financiële Sector Focusgebied: Engineering & Advanced Analytics De perfecte combinatie: Impact, Innovatie én Stabiliteit Wil jij werken aan complexe…
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