Israel
Viaccess Orca - a global, dynamic high-tech company and a subsidiary of the Orange Group, is looking for a Data Scientist to join the Innovation team.
Job Overview
We are looking for a Data Scientist who will support our product, sales, and leadership and marketing teams with insights gained from analyzing company data.
The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
They must have a proven ability to drive business results with their data-based insights.
Responsibilities for Data Scientist
· Develop custom data models and algorithms to apply to data sets.
· Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
· Coordinate with different functional teams to implement models and monitor outcomes.
· Develop processes and tools to monitor and analyze model performance and data accuracy.
Qualifications for Data Scientist
· Strong problem solving skills with an emphasis on product development.
· Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
· Experience working with and creating data architectures.
· Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks,, etc.) and their real-world advantages/drawbacks.
· A drive to learn and master new technologies and techniques.
· We’re looking for someone with 2-5 years of experience manipulating data sets and building statistical models, has a Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
· Knowledge and experience in statistical and data mining techniques: GLM/Regression, clustering ,Random Forest, Boosting, Trees, text mining, social network analysis, etc.
· Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. · Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
