Lead of data science

If you are interested in applying your passion to create products that are at the cutting edge of the field of image processing and AI, then please contact.


What you’ll do:

  • Gather and translate business and product requirements into technical solutions via ongoing interaction with Product and Engineering teams.

  • Research, design, develop, test and deploy models and systems by applying data-driven Machine Learning and AI solutions, from conceptual analysis to production

  • Communicate and explain results and insights to business executives throughout the project's life cycle.


About you:

  • Hands-on data scientist

  • You find satisfaction in solving hard riddles, and are not scared of vague tasks

  • You find it essential to understand the big picture, but know that the way passes through the small details

  • Strong motivator, Problem Solver, Great executioner from scratch, Team player.

  • A strong passion for entrepreneurship - a Must.

  • 5+ years of hands-on experience developing machine learning/optimization models and systems

  • 3+ years of hands-on development experience in Python & Matlab

  • Dealing with computer vision & image processing

  • M.Sc in Computer Science, Mathematics, Physics, Electrical Engineering - an advantage

Nice to Have:

  • Strong background in computer science fundamentals – data structures, object-oriented and multi-threading

  • Proven academic track record in machine learning

Data Engineer


What you’ll do:

  • Create and maintain optimal data pipeline architecture,

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

About you:​

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Strong analytic skills related to working with unstructured datasets.

  • Experience with High scale

  • 5+ years of hands-on experience

  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field


  • Experience with big data tools: Hadoop, Spark, Kafka, etc.

  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift

  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.

  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.



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