Algorithm Engineer

Wizer is a fast-growing startup that harnesses top-notch technology to help our customers understand what consumers want.

Our unique technology is favored by leading global brands (details on our website), giving them a competitive edge by collecting and analyzing data quicker and simpler. Our Israeli office is located in Poleg (Sapir train station area).

If you love building complex systems while solving real business problems in a dynamic startup environment, this is an excellent opportunity for you. We appreciate work-life balance and diversity.

We are looking for an experienced Algorithm Engineer to join our talented team as we build an innovative consumer insights platform:

As an Algorithm Engineer at Wizer, you will design, build, deploy, and develop our next generation of data engines and market research algorithms.

Your responsibilities

  •  Develop and apply advanced algorithms and Machine Learning to the exciting and rapidly evolving domain of market research
  • Collaborate with cross-functional stakeholders to understand their business needs, formulate and complete end-to-end analysis that includes: data gathering, analysis, scaled deliverables, recommendations and presentations to stakeholders
  • Contribute to a wide variety of research projects using statistical analysis and modeling
  • Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models

Requirements

  • At least four years of practical experience in development.
  • At least three years of hands-on experience with Python or Java.
  • Practical experience in machine learning and algorithm development.
  • Prior knowledge in NLP/NLU domain.
  • Strong analytical skills, Excellent problem-solving capabilities, and critical thinking skills, while demonstrated independence.
  • Self-motivated, self-learning person, “Out-of-the-box” thinker, problem solver.
  • Team player, responsible, delivery-oriented.
  • Excellent spoken and written English.
  • Bachelor's degree or equivalent practical experience.

To apply for this job please visit www.linkedin.com.

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