Work on embedding latent representations of entities across our platform, specifically embedding entities to understand user behavior across multi-touch fragmented journeys in a continuous cold start setting. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.
Job listings
Play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency.
This hybrid leadership role will lead a small team of data scientists while also contributing directly to high-impact projects particularly in the areas of modeling, personalization, and data-informed product strategy. Youβll shape the vision of data science across the company, scale team capabilities, and ensure the delivery of measurable business outcomes.
The Product Data Analyst is responsible for improving the success of the Finanzguru team in the area of Banking Quality & Insights and achieving measurable results. You will work as an integral part of our product team and get to the bottom of the structures and details of our bank data. You will own the logic and implementation of all KPIs of the product team, including the performance of various machine learning models.
Drive significant business value and innovation by spearheading our most critical machine learning initiatives and establishing a center of excellence for the data science practice. This is more than a modeling role; you will be a thought leader and a key driver in our journey to operationalize advanced analytics. Your work will directly influence customer growth, product strategy, and marketing effectiveness, tangibly impacting our revenue and our customers' financial lives.
Lead the team that transforms raw risk and payments data into real-time decisions that power the platform in this hands-on role. Drive critical proof-of-concept (POC) and proof-of-value (POV) projects for enterprise customers and financial institutions. Work closely with Product, Engineering, and GTM teams to reduce fraud, improve conversion, and help customers see the ROI of Sardine.
Thinking through credit strategies for new initiatives and products, shaping ongoing testing and experimentation, and being ready for navigating through any exogenous changes will be important problems to tackle. This role requires extensive use of data analytics to derive insights and develop credit strategies. It also requires a lot of cross-functional partnership.
As the AI & LLM Technical Lead, you will drive Omnidianβs capabilities in Artificial Intelligence (AI) and Large Language Models (LLMs), leading efforts to identify, prioritize, scope, develop, and deploy AI solutions that significantly enhance operational efficiency, productivity, and market differentiation. This role requires both deep technical expertise in Data Science and LLMs and a pragmatic approach to AI innovation aligned with clear business outcomes.
As AI Value Methodology Lead, you will play a critical part in shaping how we understand, measure, and communicate the tangible value generated by artificial intelligence initiatives across the enterprise. The successful candidate will develop and maintain a comprehensive value methodology framework that enables business leaders, technical teams, and executive stakeholders to make data-driven decisions about AI investments.
As a member of the AdSmart Product Engineering Team, the Principal Engineer, Data Science, will be directly responsible for data science engineering as part of building out the necessary platform and products for NBCUniversalβs Universal Workstation. The goal is to ensure we know who is watching what, where and when, enabling NBCUniversalβs sales teams to properly align audiences with the market advertisements that can benefit them the most.