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Forward-deployed data scientist at SAP designing and deploying advanced ML and statistical solutions directly in customer environments, using Python, SQL, and frameworks like TensorFlow/PyTorch on top of SAP data platforms.
Analyzes subscriber purchasing and payment data to improve commerce experiences, build dashboards in Looker/Tableau, and run experiments on fraud prevention and monetization.
Design and build scalable, event-driven data systems on AWS to process billions of ad events daily, powering campaign reporting and analytics for global Amazon advertisers.
Build and deploy AI models and systems for Amgen’s AI Studio, turning business challenges into scalable AI products using Python, SQL, GenAI, RAG, and cloud-native tools.
Staff Data Scientist at Intuit's Global Business Solutions Group, driving data-driven strategies for QuickBooks Desktop mid-market customer growth, retention, and churn prevention using SQL, Python, causal inference, and machine learning.
The Data Scientist II will build, validate, and deploy machine learning models for customer intelligence and behavioral prediction within the financial services sector. The role involves collaborating with senior team members and MLOps engineers to deliver production-grade models using Python, SQL, and cloud-based ML platforms.
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Data Job Details About Salesforce Salesforce is the #1 AI…
This Data Scientist role involves developing and deploying machine learning and statistical models to optimize marketing investments and campaign performance. The position requires proficiency in Python, SQL, and advanced statistical methodologies to drive strategic decision-making within a marketing analytics team.
Data Scientist at Askuity (Home Depot division) designing and deploying ML models, GenAI/RAG solutions, and analytics pipelines on GCP/Vertex AI to power retail and supplier decision-making.
The Senior Data Scientist will design and deploy end-to-end decision science systems, including forecasting, recommendation engines, and optimization models, within a hybrid-remote environment in Toronto. The role involves working with Python, PyTorch, and TensorFlow to build production-grade data products for the lottery and gaming industry.
The Data Scientist will partner with the Link team at Stripe to build machine learning and statistical models, run experiments, and provide insights to optimize consumer payment products. The role requires proficiency in SQL, Python, and causal inference to drive product strategy and business impact.
Location San Francisco, CA, Toronto, ON, US, Remote Employment Type Full time Location Type Hybrid Department Technology Data Science and AI Compensation San Francisco $170K – $190K • Offers Equity Overview This Senior…
Senior AI & Data Scientist owning models end-to-end—from problem framing through production—using Python, ML algorithms, and LLMs (RAG, fine-tuning, evaluation) on client consulting engagements.
Builds ML models and runs experiments to optimize Stripe’s Link checkout, local payment methods, and consumer features, using SQL, Python, and causal inference.
Develops machine learning models for fraud detection and risk management in global payments, collaborating with engineering and operations to deploy solutions and inform fraud strategy.
Builds and refines fraud detection models (account takeover, card fraud, merchant loss) for Stripe’s global payments platform, collaborating with engineering and risk teams to deploy solutions and drive financial integrity.
About Aaru Aaru builds simulations of human behavior. Each simulation contains a population of AI agents, each representing a person who could plausibly exist in the real world and capable of making decisions within a…
Senior Applied AI/ML Scientist on the Retailer Growth team, building ML systems for paid marketing optimization, bidding, targeting, AEO content creation, and LTV predictions on a wholesale marketplace platform.
Lead a Toronto-based data science and analytics team focused on rider experience, using experimentation, causal inference, and ML models to shape product strategy at a ride-hailing company.
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