Jobs / Par***

Senior Data Scientist

Par*** · Aberdeen, MD, United States
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Aberdeen, MD, United States112,200-196,400 USD/yearlyHybrid
Remuneration
112,200-196,400 USD/yearly
Location
Aberdeen, MD, United States
Visa sponsorship
Sponsors visa

Job summary

In a world of possibilities, pursue one with endless opportunities. At Par***, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential.

Benefits

Imagine next and join the Parsons quest—APPLY TODAY!Parsons is aware of fraudulent recruitment practices.To learn more about recruitment fraud and how to report it, please refer to httpCOMPETITIVE BENEFIT OFFERINGSFinancial WellnessWe care about your financial wellbeing.Work Life HarmonyParsons supports your time away by providing paid time off and paid flexible holCareer DevelopmentWe are committed to fostering the personal and professional growth of our employDevelop and advance yourself though our comprehensive training, educational andVeteran Support

Qualifications

  • into data-driven approaches, metrics, and analytic products consumable by operators, engineers, and leadership
  • Data Engineering, Interoperability & Data Mesh
  • Design and implement data pipelines for ingestion, transformation, enrichment, and distribution of data across a data mesh architecture
  • Engineer data interoperability solutions across heterogeneous systems, sensors, and platforms, using common data models, schemas, and open standards where appropriate
  • Collaborate on the design and implementation of a data mesh or data fabric for Drone Armor, enabling discoverable, shareable, and governed data products across teams and systems
  • Ensure data solutions are robust, secure, maintainable, and aligned with program architecture, performance, and interoperability standards
  • Cloud Technology & Data Platforms
  • Architect and implement data pipelines, storage, and analytics capabilities in cloud or hybrid environments (e.g., commercial, tactical, or private cloud)
  • Leverage cloud-native services and
  • Develop visualizations, dashboards, and analytic reports that clearly communicate complex findings to both technical and non-technical audiences
  • Mentor junior data scientists and data engineers, providing technical guidance on methods,
  • What Desired

Responsibilities

  • What You'll Be Doing

Skills

CommunicationLeadership

Degrees

AssociateDegree

Industry

DefenseEducationEnergyInsuranceMediaPublic-sector

Company size

Smb

Contract length

8 years

Security clearance

SecretSecurity clearance