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Data Scientist

Poleg, Israel

CropX Technologies, an exciting start-up (40 employees) located in Poleg is looking for an excellent and experienced Data Scientist to join our awesome team.

As a Data Scientist, you will build and implement statistical & machine learning models and tools as well as deep analysis to drive insight out of data and find patterns that will help improve our products.

You will have amazing opportunity to join our excellent team and bring your passion to make a real impact on the way technology works in agriculture.

We are seeking brilliant, and enthusiastic people who demonstrated excellence across their careers to join our team!

We believe that every employee in the company can and should make an impact every day, and we empower them to do so. If you are self-motivated, like to take initiative, passionate to solve complex challenges and are a great team player you will love working with us!

Responsibilities

You will be responsible for the following:

  • Applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with our products
  • Research and develop innovative approaches and algorithms to extract insights from our data
  • Presenting information using data visualization techniques
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Build predictive models and machine-learning algorithms
Requirements
  • Proven experience as a Data Scientist
  • Master’s or PhD in Statistics, Mathematics, Computer Science or another quantitative field
  • Experienced with using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experienced with a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Experienced with advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Knowledge of distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Excellent communication and presentation skills