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.
Reston, Virginia, United States
Live, first seen by us 59 days agoEmployment type in the employer’s posting: Full-TimeFrom the employer’s 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
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.
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.
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.
$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.
Day 59
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
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- 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
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Yes. We’ve followed one other Senior Data Scientist job there since July 2026. It came down after 49 days.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
Required Qualifications
Preferred Qualifications
What Success Looks Like in Your First Few Months
During your first months, you will:
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
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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