Valiant Solutions, LLC-posted about 2 months ago
Full-time • Mid Level
Remote • Washington, DC
101-250 employees

Valiant Solutions is seeking a Data Science & Machine Learning Engineer to join our rapidly growing and innovative cybersecurity team! This is your opportunity to join a team of Engineers managing a large Cybersecurity big data platform to detect threats and protect critical government systems. As a Data Science and Machine Learning (DSML) Engineer, you will work with a petabyte-scale data lake in an Elasticsearch-based big data environment to build machine learning models and rules, analyze data, and build a visualization to detect security anomalies. You’ll join an existing security development team with our large government client and will work hands-on in developing code and using GUI-based tools to analyze and visualize data. This is an exciting position helping us grow our clients’ capabilities to stay ahead of adversaries. The successful candidate will have experience with the theory behind Machine Learning and how it can be practically applied to Cybersecurity use cases. The successful candidate will have trained various machine learning models to support anomaly detection and will bring experience in preparing data feeds for Machine Learning. Additionally, the candidate will have experience analyzing data and building visualizations to provide a lens for anomaly detection and trend analysis. Named one of the Best Places to Work in the Washington DC area for 11 consecutive years, Valiant is proud of our employee-centric culture and commitment to excellence. If you are interested in learning more about Valiant and this opportunity, we invite you to apply now! This position allows for 100% remote work. Remote work necessitates a high-level trust in our employees and we strictly adhere to the details found below in our Remote Work Policy.

  • Lead analysis efforts in petabyte-scale clusters of security data
  • Instruct agency leadership on machine learning program efforts and direction
  • Prepare data streams for Machine Learning use cases, writing parsing logic, and indexing data as needed
  • Developing custom Machine Learning models using AWS services (e.g. Sage Maker) or equivalent open-source tools, and developing ML rules using COTS products
  • Developing data visualizations using a data visualization tool and learning new Kibana visualization capabilities such as Vega
  • Collaborating with Cybersecurity analysts and other developers to solve threat monitoring problems and improve our client’s security posture
  • Developing DSML strategy and procedure to detect anomalies in all layers of a large internet-facing application
  • Developing and configuring anomaly alerting logic
  • Participate in a rotating on-call schedule
  • 5 years of experience in Data Science
  • 2+ years of experience developing using Python
  • Bachelor of Science in Computer Science, Information Technology, Network Engineering, Security Engineering, System Administration (or a related field) or three additional years of IT experience.
  • Experience working with business intelligence tools such as PowerBI or Tableau
  • Experience preparing datasets for Machine Learning and generating ML models
  • Strong mathematics skills (e.g., statistics, algebra)
  • Experience with big data technologies such as Hadoop, Kafka, or Spark
  • Advanced ability to perform exploratory data analysis
  • Exceptional technical writing skills
  • Ability to communicate complex data in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project
  • Analytical and problem-solving skills
  • Experience with machine learning and AI
  • Familiarity with data management tools
  • Excellent attention to detail
  • Proven ability to meet deadlines and adapt quickly to changing and multiple priorities
  • Energetic and forward-thinking with high ethical standards
  • A team player, trustworthy, and willing to share information
  • Experience preferred with SIEM tools such as Elastic Stack or Splunk
  • Demonstrated knowledge of security concepts and best security practices is preferred
  • Valiant pays 99% of the Medical, Dental, and Vision Coverage for Full-time Employees
  • Valiant contributes 25% towards Health Coverage for Family and Dependents
  • 100% Paid Short Term Disability and Life Insurance Policy for Full-time Employees
  • 100% Paid Certifications
  • 401K Matching up to 4%
  • Paid Time Off
  • Paid Federal Holidays
  • Paid Time On – 40 hours to pursue innovation
  • Wellness & Fitness Program
  • Valiant University – Online Education and Training Portal
  • Reimbursement for Public Transit and Parking
  • FSA programs for: Medical Costs, Dependent Care, Transit, and Parking
  • Referral Bonuses
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