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Lead advanced analytics and GenAI solutions for American Express GCS Marketing, building production ML/LLM systems for real-time targeting, personalization, and next-best-action decisioning using Python and SQL.
The Department of Neurology & Neurological Sciences at Stanford University School of Medicine is building a world-class program at the intersection of artificial intelligence and brain health. The laboratory of Dr.…
Senior ML Architect/Scientist – Telemetry and Log Analytics Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive…
Lead end-to-end data exploration, analytics, and modeling on large-scale vehicle data, architecting optimized algorithms and developing agentic AI applications for software-defined vehicles using Python and ML/DL frameworks.
Build and rigorously evaluate AI agent systems that automate engineering workflows at Nuro, using frontier transformer models and proprietary driving data to drive measurable productivity gains.
Overview We’re building next generation AI-powered skilling experiences that help people and organizations learn faster, prove what they know, and keep pace with Ai driven work. As a Principal Product Manager , you’ll…
Senior Data Scientist at Kueski building and owning production ML models focused on fraud detection and prevention across the company's BNPL and lending products, using Python, SQL, and cloud-based ML tools in collaboration with cross-functional teams.
Owns growth and product analytics end-to-end—instrumentation, metrics, and models for activation, retention, and expansion—while applying a pricing/monetization lens, using SQL, Amplitude, and AI tools to turn data into shipped product changes at a legal-tech AI company.
Senior Data Scientist at an AI services firm, working across the full data lifecycle—cleaning, analyzing, and building ML models using Python, SQL, Databricks, and cloud platforms (Azure/AWS), with regular client-facing onsite work in DFW.
Leads a Toronto-based data science team at Lyft that analyzes rider behavior to shape product strategy, improve experience, and drive retention using experimentation, causal inference, and AI-native workflows.
Lead Data Scientist on the Enterprise Experimentation Team designing and validating A/B tests, building advanced analytic models, and advising business partners using Python, R, or SAS.
Own end-to-end product analytics for HackerRank's AI-powered developer hiring and upskilling platform, partnering with cross-functional teams using SQL, Python, and statistical methods to drive experimentation and product decisions.
There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our…
PagerDuty (NYSE:PD) is a leader in Digital Operations Management. In an always-on world, organizations of all sizes trust PagerDuty to help them deliver a perfect digital experience to their customers, every time.…
Welcome to Fi. We’re a passionate team from Square, Google, Oura, Peloton, Uber, and more working to transform the human-pet relationship. Our mission? Develop cutting-edge technology to revolutionize what it means to…
Lead a team of data scientists building AI-driven predictive models and statistical analyses to guide Klaviyo’s sales and customer lifecycle strategies in a fast-moving SaaS environment.
This role involves using advanced data analysis, machine learning, and experimental design to drive subscription and customer growth for Google's consumer apps. The data scientist will collaborate with cross-functional teams to provide actionable business insights and recommendations to senior leadership.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
The Staff Data Scientist will partner with Enterprise product, design, and engineering teams to define product strategy, measure success, and conduct deep-dive analyses using SQL, Python, and advanced statistical methods. This role focuses on optimizing user engagement and product performance through rigorous experimentation and data-driven recommendations.
The Staff Data Scientist will partner with product, design, and engineering teams to define analytical strategies, measure product success, and conduct deep-dive analyses for Udemy's Enterprise business. The role requires expertise in SQL, Python, and applied statistics to influence product roadmaps and improve user engagement.
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