Data Scientist

Endurion

Job Location:

Tampa, FL - USA

Monthly Salary: Not Disclosed

Posted on: 8 hours ago

Vacancies: 1 Vacancy

Job Summary

Job Title: Data Scientist

Experience Levels:3 years

Location:Located in Doral FL with 10% travel requirement

Clearance:TS/SCI

Endurion is seeking a dedicated and proactive technical subject matter expert to work in all stages of the data development lifecycle for advanced analytics projects including Big Data artificial intelligence/machine learning and other applications to advance current platform capabilities within multiple classification domains. Use data enrichment techniques to feed RDF triplestore and manage data with graph database. Uncovers and explains actionable insights from data by combining scientific method math and statistics specialized programming advanced analytics AI and storytelling.

Duties and Responsibilities:

Accelerate progress on JADC2 related strategies for the Combatant Command (CCMD) in support of the AI and Data Acceleration.
Support the integration and scaling ongoing and proven capabilities used in real-world operations simulations experiments and demonstrations.
Improve the organizations data management with CDAO ADVANA CDO and other internal/external entities to scale existing platforms and assist warfighters in making data visible accessible understandable linked trustworthy interoperable and secure.
Expert Python developer using many different machine learning and data science frameworks including TensorFlow PyTorch Keras Ray RLLib numpy/scipy scikit-learn Caffe pandas PyMC3 and numerous others.
Utilize knowledge of computer networking concepts and protocols and network security methodologies to support enterprise data capabilities.
Provide risk management matrix (e.g. methods for assessing and mitigating risk) on implementation of data strategies and use-cases in support of critical CCMD missions.
Skill in conducting queries and developing algorithms to analyze data structures.
Experienced in modern approaches to artificial intelligence including deep learning and keep up on latest advances by actively implementing and applying and inferential statistics sampling experimental design parametric and non-parametric tests of difference ordinary least squares regression general line).
Skill in creating and utilizing mathematical or statistical models.
Design develop and modify software systems using scientific analysis and mathematical models to predict and measure outcome and consequences of design.
Conduct intelligence activities involving Publicly Available Information and Commercially Available Information according to EO 12333 and DoD 5240.1.R.
Skill in developing or recommending analytic approaches or solutions to problems and situations for which information is incomplete or for which no precedent exists.
Analyze data sources to provide actionable recommendations.
Expert in data enrichment pipelines to support Resource Description Framework (RDF) triplestore semantic web and graph database.
Well-versed in a variety of NoSQL and relational database technologies including Elasticsearch MongoDB and modern graph databases such as DGraph and ArangoDB
Skill in using deep learning approaches to build machine learning models.
Develop data visualizations using tools such as bokeh matplotlib and others
Proficient applying large scale data processing technologies such as the Apache Spark Kafka and the Hadoop ecosystem (HDFS YARN Zookeeper) to developing scalable advanced analytics including data mining and anomaly detection.
Knowledge of laws regulations and policies related to AI data security/privacy and use of publicly procured data for government.
Effective communicator support technical exchanges with scientists and engineers to expression of high level insights to customers and management
Develop document implement and automate ETL (extract transform load) processes using SQL and other analytical programming tools that most efficiently import structured semi-structured and unstructured data from new and/or dynamic data sources ensuring data validity reliability and availability to users.
Support implementation of DoD and Intelligence Community Data Cyber Artificial Intelligence Strategy.
Provide Educational Courses on Data and machine learning to staff supporting the concept of Fail Fast Learn Rapid in advancing DoD Data Literacy.

Requirements:

Bachelors Degree or Higher in one of the following disciplines: Operations Research Applied Mathematics Engineering Science Computer Science Mathematics Statistics or GIS with 3 years of relevant experience.
Experience interacting with big data systems such as Microsoft Azure Data Lake Elastic Cloud and/or Amazon Web Services (AWS).
Experience with various data ingestion techniques and script writing for data ingestion.
- Proficient in one or more programing languages: R Python Java Scala HTML Matlab R SQL C/C and JavaScript.
- Proficient in one or more Libraries: numpy/scipy scikit-learn pandas PyMC3 Ray/RLLib Theano TensorFlow PyTorch Caffe Keras pyspark OpenCV AngularJS jQuery Boost (C).
- Proficient in Software/Frameworks: Power Apps Power Automate ArcGIS Platform Docker Kubernetes Kibana Logstash YARN Zookeeper HDFS Apache Spark Apache Kafka Ambari Git MS Office (Word Powerpoint Excel) Unix/Linux OpenStack AWS Azure VMWare.
- Proficient in Databases: Dgraph ArgangodB Elasticsearch PostgreSQL/PostGIS MySQL MongoDB Redis Accumulo.
- Proficient in Geospatial Information Systems (GIS) software (e.g. ESRI ArcGIS suite) to support data analysis in varying domain classifications.
Knowledge of national and international laws regulations policies and ethics as they relate to cybersecurity.
Knowledge of cybersecurity principles; cyber threats and vulnerabilities; specific operational impacts of cybersecurity lapses.
Knowledge of cloud computing service models Software as a Service (SaaS) Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).
Knowledge of cloud computing deployment models in private public and hybrid environment and the difference between on-premises and off-premises environments.
Knowledge of statistical/machine learning algorithms.
Knowledge of digital rights management.
Knowledge of mathematics including logarithms trigonometry linear algebra calculus statistics and operational analysis.
Knowledge of programming language structures and logic.

Preferred:

Degree in one of the following disciplines: Applied Mathematics Engineering Science Computer Science Mathematics Statistics or GIS.
Geospatial Information Systems (GIS) software (e.g. ESRI ArcGIS suite).

Endurion complies with all Equal Employment Opportunity (EEO) requirements. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other legally protected characteristic. Endurion will provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act (ADA). If you need assistance or an accommodation due to a disability please contact us at .

This job description is intended to describe the general nature and level of work performed by employees in this position. It is not intended to be an exhaustive list of all responsibilities duties and skills required. Management retains the discretion to add to or modify the duties of the position at any time. Employment with Endurion is at-will meaning that either the employee or the employer may terminate the employment relationship at any time with or without cause or advance notice provided it does not violate applicable law.

Required Experience:

Job Title: Data ScientistExperience Levels:3 yearsLocation:Located in Doral FL with 10% travel requirementClearance:TS/SCIEndurion is seeking a dedicated and proactive technical subject matter expert to work in all stages of the data development lifecycle for advanced analytics projects including Bi...