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The Staff Data Scientist will lead analytics strategy and framework development across Ripple's fintech and crypto product portfolio. The role involves using AI and LLMs to scale insight generation while mentoring data science teams and driving evidence-based decision-making.
Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of…
Technical Lead for Data Science at a LATAM fintech payments platform, ensuring rigorous statistical/ML model development, peer reviews, and hands-on mentorship across teams. Focuses on causal inference, Bayesian methods, and AI-augmented workflows for risk/liquidity/payments problems.
Data Scientist owning experimentation, causal inference and funnel analysis for iwoca's partner lending channel, using statistical modelling, Python and AI to drive conversion and commercial decisions.
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise…
Senior Data Scientist at a tech-driven pharma company, building and analyzing real-world patient data pipelines to accelerate drug development using SQL, Python, Snowflake, and generative AI.
In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are…
Build and improve ranking and personalisation models for a global ecommerce marketplace, blending new verticals (groceries, retail) into existing restaurant-focused surfaces to drive user adoption and engagement.
Lead data-science projects for top-20 pharma clients, designing ML models and causal inference to guide launches, pricing, and commercial strategy while mentoring a growing team.
Senior Product Analyst in Poland designing and implementing data-driven frameworks to guide AI-powered product decisions using SQL, Python, and experimentation tools for clients in CEE.
Designs and delivers enterprise-grade AI/ML solutions for Fortune 500 clients, leading end-to-end ML pipelines and client engagements on Databricks and cloud platforms.
Builds and maintains analytical infrastructure for Love, Bonito’s ecommerce business, focusing on dashboards, forecasting models, customer segmentation, and data governance to drive decision-making.
Lead the development and deployment of large-scale predictive models and algorithms to drive strategic decisions in real estate, using Python, SQL, and MLOps.
Senior Data Scientist builds ML models and experiments to optimize marketing efficiency, customer lifetime value, and product growth for a fintech app.
Leads large-scale technical programs at Amazon to develop sequence models for customer journey insights, optimizing ads and experiences across products like Stores, Prime Video, and Audible using AI/ML, NLP, and CV.
This role involves leading the development of advanced AI and machine learning models to analyze workforce data and provide actionable insights for HR leaders. The position requires expertise in predictive modeling, statistical inference, and generative AI technologies to enhance the company's People Intelligence platform.
The Health Economics Lead Research Analyst supports faculty-led research at Brown University by performing quantitative analysis on large administrative health datasets. The role focuses on health policy topics such as payment reform and market structures using statistical programming and econometric methods.
The Health Economics Research Analyst supports faculty-led research at Brown University by performing quantitative analysis on large administrative health datasets. The role involves designing studies, managing data, and applying econometric methods to inform health policy.
The Health Economics Senior Research Analyst supports faculty-led research by performing quantitative analysis on large administrative health datasets to inform U.S. health care policy. The role involves designing studies, managing data, and using statistical programming to interpret results related to payment reform and patient outcomes.
The Data Scientist II will develop and maintain advanced time-series forecasting models and AI-driven solutions to support commercial and strategic decision-making. The role involves leveraging Python, MLOps practices, and large-scale data ecosystems to architect scalable analytical workflows within the pharmaceutical domain.
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