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Senior Data Scientist II, Marketing
Build and own ML models for marketing at a BNPL fintech, including customer intent modeling, next-best-action frameworks, and marketing mix modeling to drive customer acquisition and budget allocation.
Machine Learning Engineer (Applied AI/ML)
Build and deploy ML models (XGBoost, RAG, agent workflows) to drive business decisions in consumer banking, partnering with developers to integrate solutions.
Senior Data Scientist / Machine Learning Engineer
Build and deploy ML/AI models (including GenAI) for pricing, personalization, and fraud detection in a restaurant-tech SaaS platform.
Staff Machine Learning Engineer - Wildfire
Lead the development and scaling of Overstory’s Wildfire Fuel Detection Model using AI, geospatial data, and deep learning to predict vegetation risks and reduce wildfire threats for electric utilities.
Forward Deployed Senior Data Scientist
Build and deploy enterprise-grade AI and ML solutions, including Generative AI apps with LLMs, RAG, and vector databases, to solve complex business problems for SAP customers.
Forward Deployed Senior Data Scientist
Build and deploy enterprise-grade AI and ML solutions for SAP customers, integrating LLMs, RAG, and vector databases into production systems.
Senior AI/ML Engineer (Remote)
Build and scale ML pipelines to normalize telematics data, detect anomalies, and forecast metrics for logistics and insurance workflows using time-series and geospatial models.
Staff Machine Learning Engineer
Build and deploy ML models and infrastructure to power e-commerce features at a large regional marketplace, using Python, PyTorch/TensorFlow, and MLOps pipelines.
Senior credit risk data scientist
Build and refine ML credit-risk models for African SME lending, ensuring explainability and fairness while adapting models to new markets and data sources.
Data Scientist (Up to 16k)
Build and deploy ML models for a Malaysian life insurer to improve operations, using Python, SQL, TensorFlow, PyTorch, and XGBoost.
Staff Data Scientist (Fraud & Risk)
Staff Data Scientist (IC) at a fintech building classical ML and GenAI/Agentic AI models for global fraud detection and risk mitigation, working with Python, Databricks on AWS/GCP, Snowflake/BigQuery, and feature stores like Tecton to tackle imbalanced data and production model drift.
Аналитик
Analyzes user behavior, runs A/B tests, and builds dashboards in Superset to track product and ad-campaign metrics using SQL, Python, and BI tools.
Senior Data Scientist (команда вклады)
Builds ML models to personalize savings offers: predictive models on tabular data, NLP pipelines (fine-tuning transformers, entity extraction), and A/B testing for production deployment.
Senior data scientist: big data , ai
Build and deploy AI/ML models for customer experience, monetization and productivity at Vodacom South Africa, using Python, SQL, PyTorch/TensorFlow and MLOps tooling.
Ai / machine learning engineer
Build and deploy AI/ML models to automate processes and extract insights for a global BPO provider, using Python and frameworks like TensorFlow/PyTorch.
Senior Data Analytics Engineer
Build and maintain enterprise Power BI dashboards, automate financial reporting with Python, and deploy ML models to deliver strategic insights for Wolters Kluwer’s finance and sales teams.
Senior Staff Machine Learning Engineer, (ML Underwriting)
Lead Affirm’s ML underwriting systems, designing and scaling advanced models (e.g., Transformers, XGBoost) with PyTorch and Spark to drive transparent credit decisions and mentor senior engineers.
Principal AI/ML Architect
Principal AI/ML Architect designs and advises on production ML systems, MLOps/LLMOps pipelines, and GenAI architectures on AWS for enterprise clients, translating technical depth into business value.
Senior Data Scientist (команда вклады)
Builds ML models to personalize savings offers: predictive models on tabular data and NLP pipelines (fine-tuning transformers, entity extraction, text classification) using Python, PyTorch/TensorFlow, and SQL.
Data Scientist
Builds and refines statistical and time-series models to forecast U.S. passport demand for a federal agency, using Python, econometrics, and AWS serverless tools.