Data Science Developer - Labs

Ramat Gan, Israel

Who are we?

We are Sisense; a radically innovative BI company focused on redefining every aspect of business analytics. We love innovation; we always seek to develop better our solutions and delight our customers. Turning complexity into simplicity is our goal, and we accept no less than ‘WOW!’. Sisense provides a single-stack BI solution, from a blazing fast analytical server that can mash up complex data sets out of various source providers, through a killer analytical product that turns data into actionable insights using proprietary technologies that leave other analytical engines in the dust.

What Are We Looking For?

We are looking for a passionate, creative and autodidact data scientist developer to join our AI lab and help us build our next line of AI powered features for our flagship product- Hunch!

What You’ll Do?

Come to be a part of the revolution!  

Your primary focus will be in applying machine and deep learning techniques and building high-quality prediction systems integrated with our products.

You will process, analyze, and interpret large and complex data sets, with emphasis in delivering data-driven insights and solutions.

  • Customer facing interactions to define use-case, map data requirements and apply ML technics
  • Research and developing the product future features
  • Ownership, maintenance and development of product production source code

What Should You Have?

Must Have

  • Ph.D or M.Sc in Computer Science, Mathematics or other related field
  • 2+ years of hands-on / industry experience developing machine learning models
  • Solid experience in Python
  • Practical experience in applying Deep Learning and fundamental machine learning algorithms
  • Understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, etc.
  • Experience with at least one major deep learning framework e.g. Torch, Tensorflow, Keras, TFLearn
  • Cloud Experience with AWS
  • Proficiency in using query languages such as SQL
  • Excellent interpersonal skills and the ability to explain complex concepts to clients and colleagues from all backgrounds.

Nice to Have

  • Experience with BigData technologies such as Hadoop, Hive, Spark, Presto, etc.
  • Experience in large-scale, data-rich environments

I'm In!