The Trade Desk
Senior Applied Scientist-Measurement
Bellevue · Senior · Full-time
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$38,172 more — $163,072 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $163,072 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · Seattle-Tacoma-Bellevue, WA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card intent detected
Green-card follow-through: 50%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- Our technology helps advertisers reach the right audiences across the open internet - from streaming TV and podcasts to mobile apps, news, and more.
- Advertising powers the content people love.
- When you work here, your impact is worldwide.
Responsibilities
- Experience building monitoring, anomaly detection, and data-quality checks on
Requirements
- most about is that you can learn quickly and solve complex problems using the best tools for the
- Experience estimating population quantities from partial or biased samples: projecting
- Experience running heavy workloads on a distributed computing cluster (especially EMR
- The ability to communicate with diverse stakeholders, making architecture
- We do not expect you to know every technology we use when you start at TTD. What we care
- job. However, we find that the most successful candidates typically come in with something like
- the following experience:
- that involves bringing products from ideation to production.
- how a data source biases a downstream estimate (match-rate composition, coverage and
- panel skew, deduplication).
- an observed or matched subset up to a full population via sample weighting or
- calibration, and attaching honest error bounds (e.g. via resampling).
- Rigorous missing-data imputation practice that carries the added uncertainty through to
Nice to have
- Apply rigorous statistics to scale and project our measurement numbers, impute missing data,
- Monitor data quality and the stability of our metrics, distinguishing real shifts from noise.
- Proficient in Python, SQL, and PySpark, with a strong passion for enhancing and
- BS/MS with 4+ years or a PhD with 2+ years of experience working in a DS or ML role
- Experience working with retail, panel, survey, or conversion data, and reasoning about
- production metrics and data feeds is a plus.
- Experience in causal inference and lift measurement is a plus.
- Experience in programmatic advertising is a plus.
Compensation
- In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role.
Company info
- expanding your technical skills. You are strong at data processing - exploring, cleaning,
- and transforming large, messy datasets - and have a deep understanding of the
- expanding your technical skills.
- You are strong at data processing - exploring, cleaning,
- foundations of statistics, including estimation, sampling, and measurement error.
- Hands-on experience building statistical solutions and data pipelines at scale, with a
- track record of owning a project end-to-end (from research to production) and
- partnering with
- a cross-functional team of scientists, engineers, and product managers.
- comfortable becoming the go-to expert on a complex, messy dataset.
- A keen sense of data intuition and statistical rigor: you can reason about how a data
- source biases a result, defend a number that cannot be directly measured with an
- honest error bound, and tell a solution that is statistically sound and robust from one
- that only looks good in the short term.
- Achievements like first-author publications or
- clear project successes are a plus.
This listing is sourced directly from The Trade Desk's careers page and normalized into a canonical job model.