Data Scientist/Sustainment Engineer

CACI InternationalChantilly, VA
$86,600 - $181,800Onsite

About The Position

We are seeking a skilled and motivated Data Scientist/Sustainment Engineer to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, data mining, and IT Service Management (ITSM) platform administration. This role requires the ability to visualize and communicate complex data in a clear and compelling manner, as well as provide support for the overall workload and execution of Operations and Maintenance (O&M) tasks on the Situational Awareness as a Service (SAaaS) instance of ServiceNow.

Requirements

  • Active TS/SCI Clearance with a Polygraph.
  • 5+ years experience as a Data Scientist, Data Analyst, or similar role.
  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related field.
  • Security+ or DoD 8570 IAT Level II Certification or be able to obtain certification within 3 months of hire.
  • Proficiency in data visualization tools such as Tableau, PowerBI, including data connection, data manipulation, and data visualization.
  • Experience with scripting in Tableau (e.g., automation, troubleshooting, integration, performance optimization).
  • Knowledge of statistical analysis methodologies and data visualization tools.
  • Excellent problem-solving skills and attention to detail.
  • Excellent interpersonal and communication skills needed to work with business partners, engineering teams, and users requiring break fix actions.
  • Good team player with a strong willingness to participate and help others.
  • Ability to prioritize in a fast-moving environment with a high sense of urgency and self-motivation.
  • Excellent analytical and problem-solving skills and attention to detail.
  • Proficiency in Python, R, SQL, and other relevant programming languages.

Nice To Haves

  • Tableau Certified Professional - Preferred.
  • Current Security+ or DOD 8570 IAT Level II Certification.
  • Knowledge of cloud data platforms (e.g., AWS, Azure, Google Cloud).
  • Understanding of data governance and security best practices.
  • Experience with mana

Responsibilities

  • Work with cross-functional teams to identify, research, and solve complex analytical problems.
  • Analyze large data sets to extract meaningful insights.
  • Design, build, and maintain machine learning models and algorithms.
  • Collaborate with data engineers to improve data collection and storage.
  • Present findings and recommendations to stakeholders in a clear and actionable manner.
  • Support the organization's broad-spectrum Data Management requirements, including Data Strategy/Modeling/Documentation, Data Feed Identification, Infrastructure Management, Data Ingestion/Data Feed Automation, Data Transformation, Data Catalog and Metadata Management, Data Quality Management, and Data Governance.
  • Design, develop, and maintain interactive Tableau dashboards and reports to support business objectives.
  • Integrate Tableau with various data sources, including SQL databases, cloud platforms, and spreadsheets.
  • Stay updated on the latest Tableau features, best practices, and emerging BI trends.
  • Respond to Incidents and Changes submitted by customers, to include Tier 2 level triage.
  • Respond to alerts and customer reported issues, escalate problems as required, and resolve tickets by exercising independent judgment within established support practices.
  • Assist deployment team with approved release packages and break-fix solutions on ServiceNow in accordance with Configuration, Change, and Release Management policies and procedures.
  • Assist with developing installation instructions and supporting documentation to affect system design deployments.
  • Work with a team to provide technical input in the areas of system design, installation, configuration, tuning, capacity planning, troubleshooting, and problem resolution.
  • Patch cloud servers and applications, configure software, respond to service outages, monitor system performance, and troubleshoot systems issues.

Benefits

  • flexible time off
  • robust learning resources
  • competitive compensation
  • benefits and learning and development opportunities
  • comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
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