About MyShell
MyShell is revolutionizing the AI landscape by building an open ecosystem for AI-native apps. Our powerful platform and intuitive toolkit empower anyone to create, access, and benefit from AI-powered applications. Launched in April 2023, MyShell has quickly gained global traction, attracting a diverse community of creators and users.
Our team of talented individuals from top institutions like MIT, Princeton, and Oxford is committed to fostering innovation in a supportive and transparent work environment. With funding from leading VCs, MyShell is poised to reshape the future of AI, making it accessible and integral to everyone's daily life. Join us on this thrilling journey as we redefine what's possible with AI.
Our company is in a phase of rapidly building out our data infrastructure and experimentation framework. Our current data table structures, field definitions, ID systems, and experiment pipelines carry significant legacy issues: inconsistent metric definitions, fragmented experiment processes between engineering and business teams, and high decision-making costs.
We are looking for a Data Scientist with strong engineering skills, solid experimentation methodology, and deep business understanding to design and lead a unified data and experimentation framework across the company, enabling faster iteration and better decision‑making for all business lines.
Review and refactor existing data table structures, field semantics, and key/ID systems to resolve legacy issues such as “one field with multiple meanings”
Design and drive a unified data model and metric definitions; establish a company‑wide data dictionary and data standards
Partner closely with engineering to participate in data warehouse modeling and data pipeline (ETL/ELT) design, improving data quality and maintainability