TS/SCI Data Scientist – Government Analytics & MOEs

Bering-Alaka'ina Holdings, LLC; Arlington (VA); On-site; USD 144,000 - 176,000; Full time

Benefits offered by this job

401K match

Medical insurance

Dental insurance

Disability insurance

Life insurance

Tuition reimbursement

Paid time off

11 paid holidays

Job summary

Bering-Alaka`ina Holdings, LLC is seeking a Data Scientist to provide expert guidance to the DoW Counternarcotics program in Arlington, VA. You will analyze complex datasets, design performance measures, and build predictive models to forecast threats and optimize resources for senior leadership.

The role requires an advanced degree (Ph.D. preferred) in a quantitative field, expert data skills (Python, R, SQL), and experience communicating complex results to government stakeholders.

Qualifications

• Advanced degree in a quantitative field (Ph.D. preferred).
• Extensive knowledge of statistics, ML, and data science lifecycle.

Responsibilities

• Provide SME advisory on data science methodologies for program evaluation.
• Design and implement MOEs; analyze large, disparate datasets.
• Develop predictive models to forecast threats and optimize resources.
• Build data pipelines and executive dashboards; draft data-driven briefings.
• Establish enterprise data standards and best practices across stakeholders.
• Collaborate with Joint Staff, Interagency and IC partners on data sharing.
• Other duties as assigned by Supervisor.

Skills

Statistical modeling

Machine learning

Data storytelling

Stakeholder communication

Independent work

Education

Ph.D. in Data Science or related

Tools

Python

R

SQL

Tableau

Power BI

Job description

Bering-Alaka`ina Holdings, LLC is seeking a Data Scientist to provide expert guidance to the DoW Counternarcotics program in Arlington, VA. You will analyze complex datasets, design performance measures, and build predictive models to forecast threats and optimize resources for senior leadership.

The role requires an advanced degree (Ph.D. preferred) in a quantitative field, expert data skills (Python, R, SQL), and experience communicating complex results to government stakeholders.