Senior Data Mining and Analytics Engineer

Amivero • Dc, DC

1d • Remote

About The Position

Amivero seeks an experienced Senior Data Mining and Analytics Engineer to support the research and development of new cyber analytic capabilities that will help the US protect and defend its networks and critical information systems. The successful cleared candidate will act as a Senior Data Mining and Analytics Engineer to support a large federal cyber security analytic program. Your work will contribute to the knowledge of how cyber-attacks work, how vulnerabilities are exploited, and the way hostile cyber actors operate.  Utilize your skills to help experiment and prototype future cyber capabilities for implementation at large-scale. As the Senior Data Mining and Analytics Engineer, your exceptional skillset will create useful and actionable insight for the customer through the development of analytic solutions (hardware, analytics, tools, techniques, practices, deployment, standards, performance specifications, etc.) for analytic use cases developed during the performance of this project. You will work closely with the Analytics Research team to identify platform enhancements that support the forward-looking analytics under consideration. The ideal candidate has extensive knowledge of a wide variety of systems and networks to include high-volume/high-availability systems. You are focused on results, a self-starter, and have demonstrated success using analytics to drive an understanding, growth, and success of the analysis. This is an opportunity to contribute to an important project from its beginning, work with the latest and emerging technologies, and all while building a great career at Amivero!

Requirements

• Active Secret Clearance Required.
• US Citizenship Required.
• DHS EOD preferred.
• Bachelor Degree in Computer Science, Information Technology or related field of study + 12 or more years of experience, or Masters Degree in Computer Science, Information Technology or related field of study + 10 or more years of experience.
• Practical experience with the Databricks Intelligence Platform
• Interpersonal skills and the ability to communicate effectively with various clients in order to explain and elaborate on technical details
• Experience in developing analytic tools, processes, and governance for storing, modeling, capturing, and delivering data to the client’s enterprise
• Experience with computational notebook software such as Zeppelin or Jupyter
• Experience with the application of visual analytics to computational analytic results
• Fluency in one or more programming languages (e.g., Python, JavaScript, R, etc.)
• Experience with database querying like SQL
• Readiness to collaborate with engineering teams, product teams, and customers to develop prototypes and software products

Nice To Haves

• Amazon Web Services (AWS) Certified Cloud Practitioner or higher desired
• CompTIA Security+ or higher cybersecurity certification preferred

Responsibilities

• Perform knowledge elicitation from customer subject matter experts and convert that to build analytic solutions
• Design, engineer, and optimize sustainment of large-scale distributed computation platforms and supporting environment (ecosystems) for various stakeholders, business owners, and industry partners
• Manage teams of system administrators, prioritize work, identify high-risk critical problems, and dedicate appropriate resources
• Oversee the transition of services from third-party vendors to the analytic environment and be responsible for ad hoc and formal end-user training
• Identify applicable data to perform analytics and create solutions to acquire, transform, and load or correlate data components to and from the analytic environment
• Develop custom data modeling procedures to assist with data mining, modeling, and production
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop processes and tools to monitor and analyze model performance and data accuracy
• Interpret and communicate results to non-technical customers

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees