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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.
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…
Leads a team building and deploying GenAI/LLM solutions to automate financial services workflows, improve credit scoring, and enhance customer support via RAG and agent systems.
Lead Data Scientist driving ML solutions for clients, managing end-to-end engagements and mentoring teams. Involves deploying models with Python, cloud platforms, and MLOps tools.
Lead a team to test and evaluate AI/ML models for national security use cases, including visual classification, NLP, and time-series analysis, and guide vendors on algorithm development.
Lead the design and deployment of production AI/ML and GenAI solutions—LLMs, agentic AI, RAG—on Databricks and major cloud platforms, establishing MLOps/LLMOps practices for enterprise clients.
Lead the development and deployment of large-scale predictive models and algorithms to drive strategic decisions in real estate, using Python, SQL, and MLOps.
Lead Data Scientist responsible for designing, developing, and deploying AI/ML models, analyzing complex datasets, and mentoring junior scientists using Databricks, AI/ML Ops, and agile methodologies in a hybrid New York office.
Job Description: Rakuten Group, Inc. is a global leader in internet services and has a diverse ecosystem spanning across e-commerce, fintech, communications and more serving approximately 1.8 billion members worldwide.…
Oversee vendor-delivered real-world evidence (RWE) analysis for the Inflammation therapeutic area at Gilead—managing timelines, quality checks, and programming deliverables in a GxP-compliant environment using SAS and R.
The Clinical Data Scientist - RWE Data Analysis Oversight Lead manages the quality, timeliness, and execution of real-world evidence (RWE) analysis deliverables for the Inflammation therapeutic area. This role oversees vendor performance and collaborates with scientific leads to implement data strategies and analytical tools within a GxP-compliant environment.
Leads advanced ML/AI initiatives for a fintech company, designing scalable predictive models and driving cross-functional adoption of data-driven solutions.
The Data Scientist Lead will own the analytics roadmap for the Consumer Banking pillar, using SQL, Python, and R to drive strategy through experimentation and statistical analysis. They will mentor team members and translate complex data into actionable recommendations for senior leadership.
The Senior Lead Data Scientist will architect graph-based data models and develop predictive forecasting models to support identity resolution and operational decision-making. The role requires deep expertise in graph technologies, Python, and production-grade machine learning to build scalable analytical solutions.
This Lead Software Engineer/Data Scientist role drives SEI's enterprise AI strategy, focusing on the design and deployment of Generative AI, RAG systems, and agentic workflows. The position involves architecting scalable AI solutions, establishing governance standards, and mentoring technical teams to integrate AI into financial services products.
JOB TITLE: Data Science & Analytics Lead POSITION NUMBER: 2608-0085-DSAL POSITION LOCATION: Atlanta, GA, USA TRAVEL: As required to fulfill the responsibilities of the position ASRT is seeking a Data Science &…
* Client Final / Santé * Grand Groupe international * CDI - Paris Kaino, cabinet de recrutement spécialisé, recrute un Lead Data Scientist GenAI en CDI pour un acteur mondial reconnu pour son excellence technologique…
Lead a team of data scientists analyzing autonomous driving performance using simulation, real-world data, and statistical methods to guide safety and launch readiness decisions.
Lead a data science team to drive product-led growth and B2B strategy at an AI-powered audio/video editing startup, focusing on experimentation, activation, and monetization insights.
Lead a data-science team to measure and optimize Anthropic’s developer platform, using causal inference and A/B testing to guide API, agent orchestration, and MCP integrations roadmap.
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