Senior Data Scientist

Senior Data Scientist ABOUT MESHY Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1. Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding. Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models. Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations. ROLE OVERVIEW We are hiring our first Senior Data Scientist in the US. This is a high-impact, foundational role. You will design, build, and deploy advanced analytical and machine learning solutions that directly influence product direction, growth strategy, and monetization. You will lead projects such as: - Recommendation systems - User segmentation & behavioral modeling - Churn analysis (including NLP-based parsing of text feedback) - LTV forecasting & revenue prediction - Business and growth forecasting This role requires strong technical depth, business intuition, and the ability to translate models into actionable decisions. KEY RESPONSIBILITIES - Design and deploy high-impact ML solutions, including recommendation systems, user segmentation, churn prediction, and LTV/revenue forecasting to drive engagement and monetization. - Apply NLP techniques to analyze unstructured data (e.g., churn feedback) and uncover actionable product and business insights. - Leverage both structured (schema-ready) and raw datasets to identify high-value modeling opportunities aligned with company priorities. - Design and evaluate experiments to measure model performance and quantify business impact. - Translate complex analytical outputs into clear, decision-ready insights and present findings to senior leadership to influence strategic direction. - Help define Meshy’s long-term data science roadmap and establish best practices in modeling, experimentation, and measurement. - Mentor junior team members through technical guidance, code reviews, and modeling leadership, strengthening overall team capability. QUALIFICATIONS REQUIRED - 5+ years of experience in data science, applied ML, or related roles - Strong experience building production-level ML models - Proficiency in Python (Pandas, Scikit-learn, PyTorch or similar) - Solid understanding of statistical modeling and experimentation - Experience with recommendation systems, forecasting, or predictive modeling - Practical experience applying AI tools in data analysis workflows, or a strong demonstrated interest in leveraging AI for analytical problem-solving - Expert in SQL - Experience working with both structured and unstructured datasets - Ability to communicate complex modeling insights to non-technical stakeholders PREFERRED - Experience in consumer SaaS, marketplace, or creator economy platforms - Exper ... (truncated, view full listing at source)