Ethos is hiring a Data Scientist

About MyShell MyShell is transforming the AI ecosystem by developing an open platform for AI-native applications. Our innovative toolkit empowers creators to generate, access, and leverage AI-powered solutions. Launched in spring 2023, MyShell has rapidly gained international recognition, attracting a diverse community of innovators and users. Our team comprises talented professionals from prestigious institutions like MIT, Princeton, and Oxford, committed to fostering an innovative and transparent work environment. Backed by leading venture capital, MyShell aims to democratize AI and integrate it seamlessly into everyday life. Join us in reimagining the potential of artificial intelligence. Overview Our organization is actively developing comprehensive data infrastructure and experimental frameworks. Current data structures face significant legacy challenges: inconsistent metric definitions, fragmented experiment processes between engineering and business teams, and high decision-making costs. We seek a Data Scientist with robust engineering skills, solid experimentation methodology, and deep business understanding to design and implement a unified data and experimentation framework, enabling faster iterations and improved decision-making across all business lines. Responsibilities 1. Data Architecture & Infrastructure - Analyze and restructure existing data table structures, field semantics, and identification systems to resolve legacy complexities - Design and implement a comprehensive data model with standardized metric definitions - Collaborate closely with engineering teams to enhance data warehouse modeling and pipeline design - Improve data quality and maintainability 2. Experimentation System & Evaluation Framework - Lead methodology and implementation of A/B testing and online experiments company-wide - Design comprehensive experiment pipelines, including traffic allocation, tracking strategies, data collection, storage, and analysis workflows - Develop standardized experiment analysis frameworks with reusable templates - Establish core metrics, significance testing, sample size estimation, and evaluation guidelines 3. Business Partnership & Decision Support - Engage deeply with core business lines to define problems and key metrics - Provide structured data analysis and experiment recommendations - Identify growth opportunities, product optimization directions, and potential risks - Communicate findings effectively to non-technical stakeholders 4. Data Governance & Best Practices - Promote consistent data naming conventions and tracking standards - Establish data quality monitoring mechanisms - Document and socialize internal best practices - Build a robust data culture and improve overall data usage efficiency Requirements 1. Education & Experience - Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Information Engineering - 3+ years experience as Data Scientist, Data Product Manager, Data Engineer, or Growth Analyst - Experience building data systems or leading large-scale data infrastructure re-architecture preferred 2. Technical Skills - Advanced SQL skills with complex query handling - Proficient Python programming for data analysis and scripting - Solid understanding of data warehouse modeling concepts - Familiarity with online experimentation methodologies 3. Business & Communication Skills - Proven experience translating business problems into measurable experiments - Strong collaboration and communication abilities - High self-motivation and ownership mentality Nice to Have - End-to-end experimentation platform development experience - Background in Internet/SaaS product user behavior analysis - Practical experience with statistical modeling and machine learning methods We Hope You Are Someone Who - Views data systems as a critical organizational infrastructure - Enjoys transforming complex, fragmented data into clear, unified resources - Wants to create foundational systems supporting long-term company decisions What We Offer - Competitive salary and equity package - Flexible remote work environment - Dynamic, collaborative workplace - Opportunity to innovate at the forefront of AI technology