Data Scientist (offline)
Fornova is the global market leader in distribution intelligence for hotels, delivering a cloud-based SaaS solution to most of the world's top hotel brands, including Marriott, Hilton, Hyatt, Accor and Choice. Our patented technology gathers data at scale; every year we deliver over 100 million room-nights, 7 billion shops and over 35 billion price comparisons, but we are not stopping there. We are committed to help hotels maximize their revenue potential by providing them with a unified view of all their business intelligence, along with actionable insights that lead to performance improvements, so our vision is something even greater: we want
to become the leading hospitality BI solution provider in the industry.
So far, we have 150 employees team members across offices in London, New York, Amsterdam, Israel, Belarus and Ukraine, and we are growing fast. Come join us and together we will redefine business intelligence for hotels and enable the digital transformation of the global hospitality industry. The ideal candidate will have experience working with big data sets, detecting anomalies using ML / AI techniques.
Responsibilities
● Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models for Anomaly detection.
● Deal with very large scale of data
● Code deliverables in tandem with the System team
Qualification
● Min of BsC degree in Computer Science or related quantitative field
● 2+ years of experience in one or more of the following areas: machine learning, pattern recognition, data mining, artificial intelligence
● Highly skilled coder
● Experience with scalable data infrastructures.
● Ability to work independently
to become the leading hospitality BI solution provider in the industry.
So far, we have 150 employees team members across offices in London, New York, Amsterdam, Israel, Belarus and Ukraine, and we are growing fast. Come join us and together we will redefine business intelligence for hotels and enable the digital transformation of the global hospitality industry. The ideal candidate will have experience working with big data sets, detecting anomalies using ML / AI techniques.
Responsibilities
● Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models for Anomaly detection.
● Deal with very large scale of data
● Code deliverables in tandem with the System team
Qualification
● Min of BsC degree in Computer Science or related quantitative field
● 2+ years of experience in one or more of the following areas: machine learning, pattern recognition, data mining, artificial intelligence
● Highly skilled coder
● Experience with scalable data infrastructures.
● Ability to work independently
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