Analyzing data and building statistical models
Setting Data pipeline, cluster and Job scheduling using Databricks
Writing code using Py-Spark for KPIs calculation
Understand large sets of data and develop meaningful analytic solutions.
Build models and tools using technical knowledge in machine learning, statistical modeling, probability and decision theory, and other quantitative techniques.
Innovate by adapting to new modeling techniques and procedures.
Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters
BS or MS degree in Data Science / Statistics / Computer Science / Information Systems
Extensive experience as a data scientist
Proficiency in Py-Spark
Know how on PyTorch / TensorFlow
Relevant working experience in an analytical role involving data extraction, analysis
In-depth understanding of SQL, other databases (CosmosDB)
Hands-on experience on Databricks
Competent in machine learning principles and techniques
Experience in devising and overseeing data-centered projects
Know how on Li-ion Battery knowledge is advantage
A Master’s or PhD is preferred (Statistics / Computer Science / Machine Learning, etc)
Hands-on experience on PySpark and Databricks is preferred