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The Senior Data Science Engineer will build, deploy, and automate large-scale machine learning algorithms, including classification, regression, forecasting, and recommendation systems, using Apache Spark and Python; automate the production of reports and analyses for customers; build and deploy ETL jobs, programs, and processes that transform large volumes of data from internal and external systems in a manner suitable for analysis and automatic decisioning; research new data sources, analytical tools, and methodologies for data science and data engineering; and perform complex data analysis in support of ad hoc and standing requests and demand for insights.
-Master's degree in Computer Science, Machine Learning, Statistics, Information Science, or similar Quantitative Field plus 4 years of related experience.
-Must have 3 years of professional experience with Big data technology and distributed systems such as Hadoop, Spark, Hive and Presto.
-Experience creating and using advanced machine learning algorithms and statistics such as regression, time series forecasting, clustering, decision trees, and/or neural networks.
-Advanced working SQL knowledge and experience working with a variety of databases such as MySQL, AWS Redshift, AWS Athena.
-Experience with object-oriented and scripting languages such as Python, Scala and Java.
-Experience with AWS Cloud Services such as EC2, Lambda, EMR, S3, ECS, RDS; Strong oral and written presentation skills.
How to apply:
Date posted: June 18, 2019
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