Data Scientist/Machine Learning Engineer - Top Secret Clearance
Fawkes IDM, United States
Job Description
An analytics and data solutions company that delivers customized solutions to clients, is seeking a qualified Data Scientist/Machine Learning Engineer with TS clearance to join their growing team.
Responsibiliies:
- Lead developer of distributed machine learning for applications which seek to detectemerging threats, forecast behaviors, and optimize related courses of action. T
- Leverage cloud services to feed multiple data sources into machine learning engines; coordinate the creation, validation, and use of models; integrate predictive results into application workflows; and support the interactions of userexperiences to meet customer requirements.
- The developer will work within a broadersystem leveraging multiple distributed processing technologies like Spark, Knime, ElasticSearch, and Amazon Web Services. The developer will need to collaborate with data scientists, data integrators, application developers, and clients in driving innovation,communicating plans/possibilities, and overseeing delivery tasks on small agile teams.
- Disseminating broad knowledge of analytics tools, applications and techniques. Develop applications which analyze data using descriptive, exploratory, predictive,explanatory, and prescriptive methods via automation using the latest machine learning, business intelligence, search, and intelligent data technologies.
- Create and modify applications using Java, distributed processing, and web technologies as part of a broader development team.
- Research, design, develop, analyze, and modify Cloud-based enterprise-wide systems and applications software.
Requirements
- BS degree in CS, Statistics, Mathematics, Physics, Engineering, or similar appliedquantitative discipline
• Experience in trouble-shooting very complex distributed environments, including following stack traces back to code and come up with a root cause
• Experience with Extract, Transform, and Load (ETL) processes, preferable including
document parsing techniques and managing large data sets
• Able to develop using at least Java, SQL, XML, and JSON although JavaScript,
Python, Scala, and R are desirable
• Experience working with Web Services environments, languages, and formats,
especially RESTful APIs
• Experience creating multi-step, multi-variate, time series forecasting models
• Familiarity with distributed data processing architectures and frameworks, such as
Hadoop, Hive, Spark, SOLR, Elastic Search, Kafka, Impala, and Cassandra
• Familiarity with Amazon Web Services (AWS), such as EMR, Glue, Athena, Lambda,
and S3
• Experience with Qlik, Oracle BI, Knime, H20.ai, Celect, Informatica, or other
Business Intelligence (BI), and machine learning technologies a plus
• Applied statistics or data science experience a plus