WeMeta was born in early 2021 out of a need to make the Metaverse more accessible, more useful, and more exciting for users all across the world. WeMeta is the go-to platform for all things Metaverse. From Community Leaderboards, to Activity Feeds, to buying, selling, and trading digital land - our robust data insights and accessible UI makes it easier than ever to interface with the Metaverse.

What's more - WeMeta is just getting started. Our aim is to build a rich portfolio of Metaverse feature offerings, of which the marketplace is but one. Our roadmap includes services like Digital Land Escrow, SaaS Tooling, Land Monetization, Metaverse Indices, and Portfolio Tokens.

WeMeta's founding team and core network comprises startup & cryptocurrency veterans. WeMeta is closing a $2m seed round led by Delphi Digital.

ABOUT the role

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The backbone of WeMeta is our Data & Insights stack. We need an experienced, focused, creative, and opportunisitic Data Scientist to help navigate a nascent space, build robust data & predictive data models and pipelines, and leverage data analytics to identify new opportunities and competitive edges for WeMeta.

The Team

WeMeta is a NA distributed team with a global community. We work hard, but our remote-first team affords a high degree of autonomy and flexibility. We’re mission-oriented, and hold one another accountable with results rather than vanity metrics like time spent at your desk.

We value diversity and bringing your whole self to work, including your weird hobbies, unique life experiences, cultural traditions, obscure music tastes, and whatever else makes you you.

Benefits and Support

• Comprehensive health benefits
• Flexible work hours
• Home office stipend
• Remote work friendly

ABOUT you

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• 4+ years of hands-on data science, applied machine learning, or analytics experience
• Highly proficient in Python, R, SQL, Spark, and other big data tools
• Extensive experience communicating key points through data visualization
• Can communicate at length with technical and non-technical stakeholders
• Expertise in statistical and machine learning techniques such as Logistic Regression, Tree based ML algorithms (Random Forest, XGB), - Deep Learning, Natural Language Processing, etc.

Nice-to-haves

• A passion for Blockchain, the Metaverse, and Metaverse applications
• "Let's try and see" - A desire to experiment and iterate rapidly
• A background in economics, finance, banking, real estate, or a similarly relevant field