Data Scientist

Legato, LLC
Glen Burnie, United States of America
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 230K

Job location

Glen Burnie, United States of America

Tech stack

Cloud Engineering
Databases
Information Engineering
ETL
Elasticsearch
Python
Matlab
Machine Learning
MongoDB
Natural Language Processing
Regular Expressions
Software Engineering
SQL Databases
Data Processing
Information Technology
InfluxDB
Graphite

Job description

Legato, LLC recruiters () would love to speak with you regarding the following position: Data Scientist in Hanover, MD. Security Clearance Required: TS/SCI w/ Polygraph Salary Range: $210,000-$230,000, depending on experience. What You Will Do:

The Data Scientist will develop capabilities to shift from the current manual system security evaluation and authorization process to a new model that emphasizes automation, streamlined processes and approvals, continuous assessment and network data gathering across the entire lifecycle of a project.

They will leverage Python as a primary language to process data to accurately determine if resources and systems are secure. Look for outliers to help track the progress of systems through the Risk Management Framework lifecycle. Identify which System a Resource belongs to be determined by various attributes of the identified lost Resource against known potential System information. Design, develop, and maintain ETL pipelines to extract security and compliance data from multiple sources (network sensors, security tools, compliance databases), transform the data for analysis and reporting, and load it into target data repositories to support continuous monitoring and automated assessments. Support data engineering operations including data quality validation, pipeline monitoring, and optimization of data workflows to ensure reliable, scalable, and timely delivery of security-related data for Risk Management Framework automation and decision-making.

Requirements

  • Background in statistical analysis
  • Experience with building, tuning and testing predictive models
  • Experience creating analytic charts and dashboards
  • Desired (not required): experience with Elasticsearch, RegEx, Machine Learning, Natural Language Processing, Regression and predicative analysis, Python, Matlab or R, SQL or MongoDB, and Metric Databases (Granfana/Graphite/InfluxDB)
  • At least twenty (20) years of relevant experience.
  • Bachelor's and Master's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). An additional two (2) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree for a total of eight (8) years experience. A PhD from an accredited college or university in a quantitative discipline can be substituted for four years of experience, for a total of six (6) years experience.

Benefits & conditions

About Your New Company Legato, LLC is a dynamic small business headquartered in Columbia, near Ft. Meade, MD. Our positions include Cyber, Software, Systems, Networking, Data Science and other complex engineering capabilities. We set ourselves apart by having employees in the top of their field and who enjoy working at Legato for its attention to its employees, aggressive compensation, and upward mobility possibilities. We offer a generous benefits package including individual and family health, vision and dental benefits. A minimum of four (4) weeks of paid time off including a week of sick leave. Legato gives our employees 11 federal holidays off and a 401(k) employer match with no vesting schedule. There is an opportunity to earn referral benefits or bank hours if the contract allows.

Disclaimer: The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.

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