Data Scientist

Getwizer is a fast-growing startup that harnesses top-notch technologies and AI algorithms to help our customers understand what consumers really want.

Our unique technology is favored by leading global brands (details on our website), giving them a competitive edge by making data collection and analysis faster and simpler.

If you love building complex systems while solving real business problems in a dynamic startup environment, this is an excellent opportunity for you. We cultivate work-life balance and diversity.
As a Data Scientist at Getwizer, you will part of the design and development our next generation data engines and market research algorithms.
Your responsibilities:
• Develop Getwizer’s augmented analytics platform in an exciting and rapidly evolving domain of market research. This includes a wide variety of research projects using statistical analysis and modeling, text analytics, and machine learning.
• Design NLP applications using effective text representations to transform natural language collected from multiple sources including surveys and social networks into quantifiable features that can help with deeper understanding of consumer behavior, needs, and perceptions. Perform statistical analysis of results and refine models.
• Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that include: data gathering, analysis, scaled deliverables, insights extraction, recommendations and presentations to stakeholders
• Develop highly scalable production-grade classifiers and tools leveraging machine learning
• Team player, responsible, delivery-oriented, self- taught
• At least 3 years of practical experience in statistical analysis, machine learning methods and text analysis techniques (NLP)
• At least 2 years of hands-on experience developing production-grade code in Python (and scientific packages in particular) with good engineering Skills:
• Bachelor degree or equivalent practical experience
• Good understanding of software engineering principles
• Strong analytical skills, excellent problem-solving capabilities and critical thinking skills, while demonstrated independence
• Excellent spoken and written English

A Plus:
• MSc/PhD degree in Engineering / computer science / mathematics / statistics or any other related field
• Experience working following an agile development process using Scrum or some other agile
• methodology
• Working knowledge of cloud services (AWS/GCP/Azure) and development environment for Data Science and AI

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