Your mission :
Analysis of large amounts of data from different services of our system and their associated business functions
Improving upon existing machine learning methodologies by developing new data sources, developing and testing model enhancements, running computational experiments, and fine-tuning model parameters for new models
Formalizing assumptions about how models are expected to behave, creating definitions of outliers, developing methods to systematically identify these outliers, and explaining why they are reasonable or identifying fixes for them
Communicating verbally and in writing to business customers with various levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations
Utilizing code (Python) for analyzing data and building statistical and machine learning models and algorithms
Your heroic skills :
Master’s or PhD degree in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics or 4 years of experience in the field
Fluency in a scripting or computing language (e.g. Python, Scala, C++, Java, etc.)
2+ years of relevant working experience in an analytical role involving data extraction, analysis, statistical modeling, and communication
2+ years of experience with data querying languages (e.g. SQL, NoSQL, Hadoop / Hive)
Experience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data from different product groups and business functions
Experience working with Machine Learning / Deep Learning for real world problems
Fluent english communication skills
Nice to have
Experience with NLP models especially self-learning transformers models
Experience with Image classification models.
Experience with time series modeling and machine learning forecasting.
Experience with price modeling.
Experience on working with NoSQL databases
Experience with some of these tools / technologies : Spark, BigQuery, dataProc
Experience with building APIs