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Senior Data Scientist

Reston, Virginia, United States

Live, first seen by us 59 days ago
Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-Time
From the employer’s posting

What you’ll work on

Full posting
  • Build pipelines that merge customs declaration and international trade-price data

  • Build price benchmarks that flag likely under-invoicing under WTO valuation rules

  • Design and monitor risk-scoring models that prioritize shipments for inspection

  • Produce the customs-revenue baseline analysis and recurring risk and monthly reports

  • Feed field-inspection results back into models to improve hit-rates

From the employer’s posting
Build and maintain pipelines that ingest customs declaration data (ASYCUDA/SYDONIA) and commercial international trade-price data
Construct the benchmarking that compares declared values against international reference prices — surfacing likely under-invoicing while respecting the WTO Customs Valuation framework
Design, train and monitor the models and rules that score declarations for anomalies in value, tariff classification and origin, and that prioritize shipments for inspection
Produce the customs-revenue baseline analysis used to establish reference metrics with the authorities.
Incorporate field-inspection results back into the models to improve hit-rates over time.

What you’ll bring

All qualifications

Core experience

  • 5+ years of experience in data science, quantitative analytics, applied statistics, or machine learning, including production experience building models and data pipelines using real operational data.
  • Strong Python and SQL skills, with hands-on experience using tools such as pandas, scikit-learn, or equivalent analytical/modeling libraries.
  • Experience with anomaly detection, statistical benchmarking, supervised or unsupervised modeling, model monitoring, and performance evaluation.
  • Demonstrated ability to work with large transactional, logistics, financial, trade, or similarly complex operational datasets, including reconciling heterogeneous sources, schemas, units, and currencies.
  • Ability to clearly document analytical methods, explain findings, and defend quantitative outputs to non-technical stakeholders, auditors, or government counterparts.

Preferred experience

  • Familiarity with ASYCUDA/SYDONIA data structures or other customs, logistics, or government data systems.
  • Experience standing up analytics capabilities in data-constrained, emerging-market, public-sector, or operationally complex environments.
  • Experience with cloud data warehouses and workflow orchestration tools such as Snowflake, BigQuery, Redshift, Airflow, dbt, Prefect, or similar platforms.
Qualification wording
5+ years of experience in data science, quantitative analytics, applied statistics, or machine learning, including production experience building models and data pipelines using real operational data.
Strong Python and SQL skills, with hands-on experience using tools such as pandas, scikit-learn, or equivalent analytical/modeling libraries.
Experience with anomaly detection, statistical benchmarking, supervised or unsupervised modeling, model monitoring, and performance evaluation.
Demonstrated ability to work with large transactional, logistics, financial, trade, or similarly complex operational datasets, including reconciling heterogeneous sources, schemas, units, and currencies.
Ability to clearly document analytical methods, explain findings, and defend quantitative outputs to non-technical stakeholders, auditors, or government counterparts.
Familiarity with ASYCUDA/SYDONIA data structures or other customs, logistics, or government data systems.
Experience standing up analytics capabilities in data-constrained, emerging-market, public-sector, or operationally complex environments.
Experience with cloud data warehouses and workflow orchestration tools such as Snowflake, BigQuery, Redshift, Airflow, dbt, Prefect, or similar platforms.
Apply at Securiport

Posting record

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Status in our records
Live
First seen by us
Sep 5, 202659 days ago
Recorded sightings
48
Last seen by us
Nov 3, 2026
Reposted
once since Jul 17, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 59

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,971 similar postings that came down. Coming down is not always a hire.

Securiport is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • 100% of open jobs were reposted
Hiring record

See how this role fits your experience

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  • Python
  • SQL
  • BigQuery
  • dbt
  • Prefect
  • Redshift
  • Snowflake
  • Airflow
  • pandas
  • scikit-learn
Where the posting names them
- 5+ years of experience in data science, quantitative analytics, applied statistics, or machine learning, including production experience building models and data pipelines using real operational data. - Strong Python and SQL skills, with hands-on experience using tools such as pandas, scikit-learn, or equivalent analytical/modeling libraries. - Experience with anomaly detection, statistical benchmarking, supervised or unsupervised modeling, model monitoring, and performance evaluation.
- Experience standing up analytics capabilities in data-constrained, emerging-market, public-sector, or operationally complex environments. - Experience with cloud data warehouses and workflow orchestration tools such as Snowflake, BigQuery, Redshift, Airflow, dbt, Prefect, or similar platforms. - #LI-NA1

Your next step

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Has Securiport posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since July 2026. It came down after 49 days.

  1. RestonCame down after 49 days, first seen Jul 17
  2. This jobUp 60 days so far, first seen Sep 5

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

KIBO is a registered United States company dedicated to providing governments worldwide its services of inspection, analysis, certification, and compliance. 


The Senior Data Scientist owns the analytics engine behind KIBO's service — the price-verification benchmarking and the risk-scoring that turn import-declaration data and international trade data into defensible, inspection-ready outputs and the reporting delivered to the customs administration. It is the pivotal quantitative role, and includes building the customs-revenue baseline analysis that underpins the program.


Key Responsibilities

  • Data integration. Build and maintain pipelines that ingest customs declaration data (ASYCUDA/SYDONIA) and commercial international trade-price data, reconciling schemas, units and currencies into a single analytical warehouse.
  • Price-verification analytics. Construct the benchmarking that compares declared values against international reference prices — surfacing likely under-invoicing while respecting the WTO Customs Valuation framework — and document the method so findings are defensible.
  • Risk scoring. Design, train and monitor the models and rules that score declarations for anomalies in value, tariff classification and origin, and that prioritize shipments for inspection.
  • Revenue-baseline analysis. Produce the customs-revenue baseline analysis used to establish reference metrics with the authorities.
  • Generate the recurring risk-assessment reports and the monthly reporting delivered to the customs administration, with clear, auditable lineage from source data to conclusion.
  • Feedback loop. Incorporate field-inspection results back into the models to improve hit-rates over time.


Required Qualifications

  • 5+ years of experience in data science, quantitative analytics, applied statistics, or machine learning, including production experience building models and data pipelines using real operational data.
  • Strong Python and SQL skills, with hands-on experience using tools such as pandas, scikit-learn, or equivalent analytical/modeling libraries.
  • Experience with anomaly detection, statistical benchmarking, supervised or unsupervised modeling, model monitoring, and performance evaluation.
  • Demonstrated ability to work with large transactional, logistics, financial, trade, or similarly complex operational datasets, including reconciling heterogeneous sources, schemas, units, and currencies.
  • Ability to clearly document analytical methods, explain findings, and defend quantitative outputs to non-technical stakeholders, auditors, or government counterparts.
  • Strong data-governance practices, including reproducibility, data lineage, version control, quality checks, and appropriate handling of sensitive data.


Preferred Qualifications

  • Exposure to customs, international trade, tariff/HS classification, import/export data, valuation, or commercial trade-price data.
  • Familiarity with ASYCUDA/SYDONIA data structures or other customs, logistics, or government data systems.
  • Experience standing up analytics capabilities in data-constrained, emerging-market, public-sector, or operationally complex environments.
  • Experience with cloud data warehouses and workflow orchestration tools such as Snowflake, BigQuery, Redshift, Airflow, dbt, Prefect, or similar platforms.
  • #LI-NA1


What Success Looks Like in Your First Few Months

During your first months, you will:


  • Stand up the analytical environment and ingest initial customs and trade-data samples.
  • Deliver an initial customs-revenue baseline analysis and prototype the price-verification benchmarking and risk-scoring.
  • Produce the first risk-assessment reports that support inspection getting under way.


Reporting and Working Relationships

Reports to the Engagement / Delivery Lead; takes valuation-methodology guidance from the Customs & Valuation Subject-Matter Expert; partners with the Senior Full-Stack Developer on data access and tooling; consumes inspection results from the field via the Technical Manager and Data & IT Liaison.


What KIBO Offers

  • Competitive compensation and a comprehensive benefits package.
  • High-impact, mission-driven work supporting the modernization of a national customs administration.
  • The opportunity to help design a platform with long-term economic, operational, and public-sector impact.
  • A collaborative, multidisciplinary team of customs, technology, data, and engineering specialists.
  • Significant ownership and influence during a critical program build-out phase.
  • Opportunities for professional growth as the platform and program expand.


If you are motivated by mission-driven work and want to help establish the architecture behind a transformative customs-modernization program, we encourage you to apply.


KIBO Laboratories LLC is an equal-opportunity employer and welcomes qualified applicants of all backgrounds. Offers are contingent on background, right-to-work and — where applicable — sanctions-screening checks.

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Reston, Virginia, United States

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