Applied Scientist

DESCRIPTION

Are you interested in building the next-generation services that will redefine shopping in Middle East? We are disrupting the local shopping experience and looking for talented Applied scientist to design and build a new product, ground-up.

We are looking for Applied scientist to be based in Amman, Jordan with 3+ years of solid experience in solving complex problems using machine learning and data science. As an Applied scientist, you will provide machine learning expertise that helps accelerate the business. You will build various data and machine learning models that help us innovate different ways to enhance customer experience. You will need to be entrepreneurial, wear many hats, and work in a highly collaborative environment. We like to move fast, experiment, iterate and then scale quickly, thoughtfully balancing speed and quality. Responsibilities include:

• Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business.
• Create experiments and prototype implementations of new learning algorithms and prediction techniques
• Collaborate with scientists, engineers, product managers, and stockholders to design and implement software solutions for science problems
• Use machine learning best practices to ensure a high standard of quality for all of the team deliverables

• M.S. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• 3+ years of hands-on experience in predictive modeling and analysis
• 2+ years hands-on experience in Python, Perl, Scala, Java, C#, C++ or other similar languages
• 1+ years professional experience in software development
• Proficiency in model development, model validation and model implementation for large-scale applications
• Ability to convey mathematical results to non-science stakeholders
  Strength in clarifying and formalizing complex problems
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts

• Ph.D. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
• 5+ years of practical experience applying ML to solve complex problems in an applied environment
• Significant peer-reviewed scientific contributions in premier journals and conferences
• Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
• Experience with defining research and development practices in an applied environment
• Proven track record in technically leading and mentoring scientists
• Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts
• Excellent interpersonal communication with strong verbal / written English skills