Scala language with spark, Hadoop, Hive, SQL is mandatory
Experience: 5+ Years
About you:
4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience
MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience
6 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency
Experience deploying Machine Learning algorithms into production environments - including model and system monitoring and troubleshooting
Highly proficient programming in Java/ Scala and/ or Python
Good understanding of Big Data tech - specifically Hadoop, Kafka, Spark
Solid understanding of data analysis techniques, including data cleaning, preprocessing, and visualization
Demonstrated ability collaborating with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
Self-driven and results oriented - able to meet tight timelines
Motivated, team player with ability to collaborate effectively across global team
