Senior Data Scientist TS/SCI Clearance

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Senior Data Scientist TS/SCI Clearance

  •   1 Job Openings
  • 18 Views

Experience

10 +

Employee type

Full Time

Position

Expert

Offer Salary

$ 160,000 - $ 200,000 /annually

Job Description

In today’s disruptive era, organizations must harness data analytics, robotics, and AI to navigate the future with confidence. Our Strategy & Analytics team helps clients uncover insights from vast data and drive transformation in the Government and Public Services sector. Join us to solve complex challenges with analytical rigor and innovation.

Work you’ll do/Responsibilities

This Data Scientist will: 

• Support data ingestion, cleaning, transformation, and storage to develop and manage ETL pipelines and ensure data accuracy, consistency, and accessibility.

• Build, test, and deploy machine learning and statistical models tailored for data-driven insights, such as real-time intelligence analysis, strategic decision-making support, and operational planning.

• Implement processes for data verification, tagging, and structuring to maintain trusted, secure, and high-quality data resources. Ensure that data assets meet compliance standards and organizational requirements for secure access and usage.

• Work closely with internal and external stakeholders, intelligence teams, and operational units, to address data needs and deliver actionable insights that align with objectives.

• Utilize specialized knowledge for data-driven solutions. Lead efforts to integrate new data sources into these platforms, ensuring interoperability across the data environment.

• Promote data-driven decision-making practices

• Develop comprehensive documentation of data processes, models, and analytical findings. Generate reports to track progress on data and AI initiatives

Qualifications

Required

  • Active TS/SCI Clearance required
  • Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline, or equivalent experience
  • 10+ years of data science professional experience
  • 8+ years of experience in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • 6+ years of experience with cloud environments and big data platforms, including data security standards and compliance for government systems.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
  • Ability to go on-site with the client 3 days a week or more

Preferred

  • AWS, Azure and/or Google Cloud Platform Certification.
  • Experience working with agile development methodologies such as Sprint and Scrum.
  • Experience government consulting/clients
  • Strong problem-solving skills and ability to solve complex data-related issues
  • Data governance experience
Skills
Communication Skill Customer service Skill Interpersonal Skill Leadership Skill Management Skill Problem-solving Skill Time management Skill TS/SCI Jupyter Notebooks DataBricks Spark Data science
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