Data Scientist

Jacobs Engineering Herndon , VA 20171

Posted 2 months ago

Be part of an exciting team dedicated to keeping America safe at home and abroad. Jacobs has an immediate need for a Data Scientist to support our customer's mission researching new and innovative ways to detect botnets, as well as methods to automatically discover and classify devices and infrastructure in botnet infected networks using large quantities of cyber security data.

Responsibilities:

  • Working with a variety of both structured and unstructured data sources.

  • Producing novel and innovative research into anomaly detection, classification, discovery, and pattern-of-life from large cyber security data sets.

  • Working with developers to scale prototyped machine learning applications in distributed computing platforms such as Spark.

  • Communicating findings to a non-technical audience of decision makers.

  • Collaborating with an interdisciplinary team of data scientists, software engineers, dev ops engineers, and subject matter experts.

  • Bachelor's Degree in a quantitative field (e.g., statistics, operations research, computer science, mathematics, physics, computational chemistry/biology, engineering, quantitative social sciences) and five (5) to seven (7) years of experience or Master's Degree with three (3) to five (5) years of experience.

  • Programming experience in Python, Scala, Java or R - Proficiency with query languages (SQL).

  • Proven expertise in identifying supervised and unsupervised machine learning algorithms to apply to new types of data with actionable results.

  • Ability to produce fundamental research results and objectives with minimal technical supervision.

Preferred Qualifications:

  • Experience creating proof-of-concept visualizations to convey results to non-technical audiences (e.g., Tableau, D3, Matplotlib, R GGplot).

  • Experience with distributed computing (e.g., Map-Reduce, Spark, and other technologies in the Hadoop ecosystem).

  • Experience applying machine learning algorithms to large (TB/PB scale) data sets.

  • Experience with deep learning architectures and frameworks (e.g., Caffe, TensorFlow, Keras).

Clearance:

Position requires a Top Secret security clearance, based on current background investigation (SBI), as well as the favorable completion of polygraph. Clearance and polygraph processing will be completed by the U.S. Government.

Recruiting Point of Contact:

john.Schumacher.ctr@jacobs.com


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Data Scientist

Jacobs Engineering