Want to be part of a team that creates new and exciting technologies? Have a background as a data scientist and experience in machine learning algorithms and software development?
If YES, we want to hear from you.
Beyond Verbal Communication, the world leader in Emotion Analytics nominated by Gartner as a cool Human-Machine Interface vendor for 2014, is looking for a full-time Data Scientist for developing and building our data research methodology, tools and assets to join our Tel-Aviv team. We develop technology that identifies emotions, attitudes and personality according to the acoustic characteristics of human speech. This technology is integrated in various business solutions used by Tier 1 customers, and in cutting-edge, innovative new products ranging from robots and devices to market research and wellness.
You must be comfortable wearing many hats and be able to work in a rapidly changing and demanding environment. Your projects will be appropriately based on your skill level and aligned with company goals and priorities. You must be proactive, inquisitive, energetic and confident to innovate and implement new ideas, and develop world-class data analytics solutions in the context of building scalable, commercialized systems. This position primarily focuses on:
> Development of new methods and models for machine learning algorithms to extract emotions and other meaningful information from a human voice
> Derive useful insights by cross correlating emotional analysis with other datasets
> Be able to analyze small datasets to derive initial hypothesis for further research
> Research of new methodologies, design and implementation of experiments to test new ideas
> Work with millions of labeled and unlabeled voice samples and datasets
> Be able to research and learn new tools to develop and improve development environment
> Work in cooperation with developers to produce high performance scalable cloud-based solutions for real time voice analysis.
> Minimum MS or PhD in computer science, data mining, machine learning, mathematics, statistics, or a related field
> 2-3+ years of related work experience
> Knowledge in two or more of the following areas: machine learning, feature extraction, statistics, audio signal processing and/or acoustics, data mining, business intelligence, information retrieval, databases, data warehousing
> Strong software engineering and algorithmic skills. Ability to understand tradeoffs between correctness, robustness, performance, space, and time.
> An independent self-starter who likes to take ownership and independently seeks out new challenges.
> Always ready to learn and step outside of your comfort zone to blaze the trail for new technology
> Excellent communication and interpersonal skills