Yewno is growing quickly with new customers and content partners. We’re looking for talented, mission-driven people who love the exciting and fast pace of creating disruptive innovation. Contact us at email@example.com if this sounds like you!
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Quantitative Finance Analyst
Creating, designing and implementing the next- generation of knowledge discovery tools and financial big data analytics. Successful candidates will be expected to develop cutting-edge machine learning that can be used to extract decision-making signals from heterogeneous streams of unstructured data in real-time.
Senior Front End Engineer
Help delight users with well-crafted applications and data visualizations using unique web technology. We have great insight and data distilled from state-of-the-art data science to help the world explore knowledge. Join the front end team and help shape and scale our UI to achieve the mission vision, with plenty of authority over the architecture, and look and feel of our applications.
You have an attitude to thrive in a fast-paced start-up environment, with a track record of projects completed on time. Comfortable in the Linux shell environment, 3+ years of recent hands-on coding and software design, 5+ preferred. Demonstrated experience leveraging AWS services such as EC2, S3, etc.Comfortable working with large data volumes (TB to PB scale). Demonstrated strength using Go, Python, Node and/or Scala (Go is the primary language for backend services at this time). Proven experience with NoSQL databases such as DynamoDB, MongoDB, Redis (knowledge of Aerospike and/or Cassandra is a plus).
Full Stack Engineer
Technical degree (BS or MS in Computer Science or Computer/Electrical engineering). Familiarity with UI / UX design patterns, e.g. Apple’s Human Interface Guidelines or Google’s Material Design. Strong understanding of client application architecture, including MVC. Web application development using the React ecosystem. Experience with API design and implementation. Knowledge of Spark (or other big data systems). Knowledge of SQL databases such as Postgres and Redshift. Experience in building systems at scale