Interesting Job Opportunity: Principal Engineer - Data Science
Data Science Analytics & Machine Learning
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Job Description
- Adapting and enhancing machine learning techniques based on physical intuition about the domain
- Design sampling methodology, prepare data, including data cleaning, univariate analysis, missing value imputation, , identify appropriate analytic and statistical methodology, develop predictive models and document process and results
- Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule and on budget
- Coordinate and lead efforts to innovate by deriving insights from heterogeneous sets of data generated by our suite of Aerospace products
- Support and mentor data scientists.
- Maintain and work with our data pipeline that transfers and processes several terabytes of data using Spark, Scala, Python, Apache Kafka, Pig/Hive Impala.
- Work directly with application teams/partners (internal clients such as Xbox, Skype, Office) to understand their offerings/domain and help them become successful with data so they can run controlled experiments (a/b testing)
- Understand the data generated by experiments, and producing actionable, trustworthy conclusions from them
- Apply data analysis, data mining and data processing to present data clearly and develop experiments (ab testing)
- Work with development team to build tools for data logging and repeatable data tasks tol accelerate and automate data scientist duties
Skills
Data AnalysisData MiningData ProcessingData ScienceMachine LearningPythonIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
Software Engineering of America (SEA) helps navigate the ocean of information in data centers. The company provides a variety of data management software applications, primarily for IBM operating systems. The company's software performs a variety of tasks, such as application monitoring, network storage management, operations automation, security monitoring, and cross-platform job scheduling. The company also offers consulting, installation, integration, maintenance, support, and training services. SEA has installed its software in more than 10,000 data centers around the world. The company was established in 1982 by Salvatore Simeone, SEA's chairman, president, and CEO.
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