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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.
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience in consumer SaaS, marketplace, or creator economy platforms
Experience applying NLP to real-world product problems
Experience with LTV modeling and growth analytics
Familiarity with causal inference methods
Experience deploying models into production environments
Interest in generative AI or 3D/creative technology
Fluent in both English and Mandarin, with the ability to communicate at a professional level in both written and verbal forms
What we offer:
Competitive salary, equity, and benefits package
Flexible work environment, with options for remote and on-site work
Opportunities for fast professional growth and development
An inclusive culture that values creativity, innovation, and collaboration
Unlimited, flexible time off
Stock options available for core team members
401(k) plan for employees
Comprehensive health, dental, and vision insurance