Data Scientist

Responsibilities:

• Lead the full machine learning system implementation process: generating training data, model design, feature selection, system implementation, and evaluation
• Design and develop scalable recommendation platform that can be used by various systems/application
• Design and evaluate novel approaches for handling large scale data analyses and extract relevant information
• Apply data-mining, machine learning and/or graph analysis techniques for a variety of modelling and relevance problems involving users and their interests in various content types
• Collaborate with Engineers, QA, Product and Operations teams to architect and develop strategic and tactical solutions in the recommendation domain
• Participate in cutting edge research in machine learning applications

Qualifications:

• Strong hands on experience on Python or R programming language
• Strong background in machine learning and data mining with a broad understanding of supervised and unsupervised learning methods (such as Regression, Decision Tree, Collaborative Filtering, PCA, Clustering, etc.)
• Understanding of content recommendation, personalization, and real-time data-mining
• Strong mathematical skills with knowledge of statistical methods
• Extensive experience working with large data stores
• Experience developing and monitoring Cloud-based products, on one of the leading cloud environments like Azure would be advantageous
• Strong collaborative skills and the ability to work with team members from multiple roles to inform, influence, support, and execute our product decisions and launches
• Ability to mentor other team members and contribute to a collaborative team environment
• Passion for solving the world’s toughest problems, and the smarts to actually solve them

About Haber

At HABER, we are solving the challenges of tomorrow, today. We are bringing together the best minds in process, engineering, computing and chemistry to develop solutions to address some of the world’s toughest challenges – water and energy scarcity and sustainability. Over the past few years there has been an explosion in unstructured data across industry driven by affordable sensing technologies and adoption of analytical instrumentation. This sudden increase in data has resulted in industries spending significant amounts of time collecting, organizing and analyzing content and very little time driving value with the data. HABER is focused on reversing this trend by helping our customers spend less time collecting and analyzing data and more time using HABER’s platform to drive efficiency, identify issues before they happen and uncover hidden potential. Follow us on Twitter @haber_tech or LinkedIn at linkedin.com/company/haber-technologies or visit us at haberwater.com/careers