We are seeking a skilled Data Scientist to join our team at MoonPay. You’ll be pivotal in driving business growth and maximizing our product performance. This is your opportunity to have a significant impact on our market-leading products, optimizing them and delivering actionable insights across the wider product organization.
Job listings
Seeking a Health Data Analytics Engineer to join our team, focusing on constructing dbt data models for our healthcare analytics products and configuring the data pipelines that connect these models in production. You will play a crucial part in developing, maintaining and testing data models that serve critical product and business functions. You will work as part of our data engineering team to ensure seamless data integration, transformation, and validation.
Be a key part of our Analytics Engineering team within the Data Science organization, focused on the Safety domain. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas. Be the Analytics Engineering lead within the Safety organization and a key contributor to the success of Data Science data quality, performance, and automation initiatives. Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
As a Data Engineer, you will design and build scalable, high-performance data pipelines and infrastructure using modern Azure and big data technologies. You will collaborate with cross-functional teams to deliver clean, accessible, and trusted data that powers advanced analytics, AI/ML models, and key business decisions.
As a Middle/Senior Machine Learning Engineer, you will build a document intelligence solution based on the latest GenAI technology. Responsibilities include providing teams with operational support, developing solutions, building model pipelines, and collaborating with data scientists and software engineers.
Candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. They will collect, process, and analyze data from various sources and prepare reports and visualizations to present findings to internal teams.
As a Senior/Principal Data Scientist, you'll be at the intersection of AI research, customer success, and engineering, designing intelligent agentic workflows, building novel document extraction pipelines, and supporting customers in deploying production-grade AI systems.
Contribute to building a robust model library and pricing platform that drives measurable business impact and ensures long-term scalability. You will translate business needs into machine learning solutions, partner with engineering and product teams to deploy data science services. Your role includes monitoring model performance, identifying business opportunities, and supporting junior team members.
Evaluate machine translations by assessing text and assigning semantic similarity scores. Evaluate the accuracy, fluency, and overall quality of online messages that have been translated by machines. The texts you'll be working with are similar to what you'd find in online conversations or on social media.
Evaluate, score, and provide feedback on AI responses to ensure accuracy, relevance, and cultural appropriateness. Play a critical part in helping to train safe, useful AI. Must be comfortable reviewing prompts that may include sexual, political, violent, or otherwise offensive content.