Data Scientist

Bering-Alaka'ina Holdings, LLC

Arlington (VA)

On-site

USD 144,000 - 176,000

Full time

6 days ago
Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

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 looking for a Data Scientist to provide support for our government customer in Arlington, Virginia.

DESCRIPTION OF RESPONSIBILITIES
  • Provide high level technical expertise and advisory support to government leadership regarding data science, advanced analytics, and the mathematical and statistical methodologies required to evaluate the effectiveness of the DoW’s Counternarcotics (CN) program.
  • Support the government in the design, development, and implementation of a new performance measurement framework focused on Measures of Effectiveness (MOEs). Assist in the analysis of large, complex, and disparate datasets from across the DoW CN community to identify trends and evaluate program outcomes against strategic objectives.
  • Develop and employ advanced predictive models, machine learning algorithms, and statistical techniques to assist government personnel in forecasting threat activities, assessing the potential impact of program changes, and optimizing resource allocation.
  • In partnership with the Performance Metrics Analyst, architect robust data pipelines and develop authoritative data visualizations and executive-level dashboards. Draft and prepare data-driven briefings and reports for government review, enabling senior leadership to brief the government, Congressional committees, and other stakeholders.
  • Function as senior data science Subject Matter Experts (SMEs). Draft, recommend, and prototype enterprise-wide standards, guidelines, and best practices for data collection, management, and analysis for government approval and implementation.
  • Participate in forums with the Joint Staff, Interagency partners, the Intelligence Community, and international partners to provide technical SME support. Assist government personnel by identifying data-sharing opportunities, drafting technical requirements for data-sharing agreements, and facilitating analytical consensus among stakeholders.
  • Other duties as assigned by Supervisor.
REQUIRED DEGREE/EDUCATION/CERTIFICATION

Possess an advanced degree (Ph.D. highly preferred) in Data Science, Computer Science, Statistics, Applied Mathematics, or a closely related quantitative field from an accredited university.

REQUIRED SKILLS AND EXPERIENCE
  • Demonstrated mastery of advanced statistical, mathematical, and machine learning theories and their practical application to serve as a technical SME in evaluating large-scale program effectiveness.
  • Expert-level skill in designing and implementing the full data science lifecycle, including mastery of programming languages (e.g., Python, R), database query languages (e.g., SQL), and data visualization tools (e.g., Tableau, Power BI).
  • Proven ability to facilitate interdisciplinary technical working groups and assist government leaders in building consensus among senior personnel from diverse organizations on complex and sensitive data-related issues.
  • Expert knowledge of DoW strategic guidance, policy, and authorities related to Counternarcotics (CN), Counter-Transnational Organized Crime (CTOC), and security cooperation programs.
  • Proven capability operating efficiently within secure DoW or Intelligence Community data environments, with a strong understanding of data governance, security protocols, and ethical AI implementation.
  • Possess ten (10) years’ experience providing services to senior general/flag officer ranks and/or SES levels within the DOW, other government agencies, or industry corporate equivalents, and will be expected to perform at the level of a mid-range GS-15 equivalent.
  • Be able to operate independently, proactively manage requirements, and require minimal government direction to achieve desired outcomes
  • Demonstrate prior experience and capabilities for the successful execution of tasks associated with specific duty positions/focus areas (e.g., legislative, budget, etc.).
  • Exceptional oral and written communication skills, and the ability to translate highly technical information into plain language for effective communication with DoW and other USG staff in the performance of all duties, tasks and services.
  • Must be willing to sign a Non-Disclosure Agreement.
REQUIRED CITIZENSHIP AND CLEARANCE
  • Must be a naturalized U.S. Citizen.
  • Must have an active Top Secret/SCI clearance.
COMPENSATION DETAILS
  • $160,000.00
  • The compensation range or hourly rate provided is a good faith estimate at the time of posting. Final compensation will be determined based on qualifications, experience, skills, internal equity, market conditions, and applicable laws.

Bering-Alaka`ina Holdings, LLC is a fast-growing government service provider. Employees enjoy competitive salaries. Eligible employees enjoy a 401K plan with company match; medical, dental, disability, and life insurance coverage; tuition reimbursement; paid time off; and 11 paid holidays.

We are an Equal Opportunity/Affirmative Action Employer of individuals with disabilities and veterans. We not illegally discriminate in employment decisions on the basis of any protected categories. If you are a person with a disability and you need an accommodation during the application process,

We E-Verify all employees.

As a part of BSNC, Bering- Alakaina Holdings gives hiring, promotion, training, and retention preference to BSNC shareholders, descendants and shareholder spouses who meet the minimum qualifications for the job. Qualified job candidates will generally be considered in the following order: BSNC shareholders, descendants, shareholder spouses, current employees, and outside candidates. The BSNC Shareholder Development department tracks and monitors the implementation of the Shareholder Hire Preference across its operations.

Bering-Alaka`ina Holdings, LLC is comprised of industry-recognized government service firms designated as Alaska Native Corporation (ACN)-owned and 8(a) certified businesses and includes Ke`aki Technologies, LLC; Laulima Government Solutions, LLC; Kūpono Government Services, LLC; Kapili Services, LLC; Po`okela Solutions, LLC; Kīkaha Solutions, LLC; and Pololei Solutions, LLC.

For additional information, please visit www.beringalakaina.com

#ClearanceJobs

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Data Scientist
Data Scientist

Pololei • Arlington (VA)

On-site
USD 144,000 - 176,000
401K with company match
Medical, dental, disability, and life–
Tuition reimbursement
+2
Data Scientist
Data Scientist

Bering-Alaka`ina Holdings, LLC • Arlington (VA)

On-site
USD 160,000 - 170,000
Data Scientist
Data Scientist

Kapili Services, LLC • Arlington (VA)

On-site
USD 144,000 - 176,000
401K with company match
Medical, dental, disability, and life
Tuition reimbursement
+2
Data Scientist
Data Scientist

familyofcompanies • Arlington (VA)

On-site
USD 144,000 - 176,000
401K plan with company match
Medical, dental, disability, and life
Tuition reimbursement
+2
Analyst Specialist IV (BEX-Board of Examiners)
Analyst Specialist IV (BEX-Board of Examiners)

Bering-Alaka'ina Holdings, LLC • Arlington (VA)

On-site
USD 74,000 - 84,000
401K match
Medical insurance
Dental insurance
+3
Administrative Specialist IV
Administrative Specialist IV

Bering-Alaka'ina Holdings, LLC • Arlington (VA)

On-site
USD 89,000 - 93,000
401K with company match
Medical, dental, disability, and life"
Tuition reimbursement
+2
Assurance Analyst I (REC-Office of Recruitment)
Assurance Analyst I (REC-Office of Recruitment)

Bering-Alaka'ina Holdings, LLC • Arlington (VA)

On-site
USD 82,000 - 92,000
401K plan with company match
Medical, dental, disability, and life
Tuition reimbursement
+2
System Administration (Directory Services)
System Administration (Directory Services)

Kapili Services, LLC • Honolulu (HI)

On-site
USD 126,000 - 154,000
401K with company match
medical, dental, disability, and life
tuition reimbursement
+2
System Administration (Directory Services)
System Administration (Directory Services)

Po'okela • Honolulu (HI)

On-site
USD 126,000 - 154,000
401K plan with company match
medical, dental, disability, and life
tuition reimbursement
+2
Senior Financial Management Support Specialist
Senior Financial Management Support Specialist

Kapili Services, LLC • Frederick (MD)

On-site
USD 110,000 - 165,000
401K with company match
Medical, dental, disability, life ins.
Tuition reimbursement
+2