Home › Companies › tvScientific › Sr. Data Scientist
Sr. Data Scientist
tvScientific · San Francisco, CA, US; Remote, US · Remote · Active · Greenhouse
Job facts
| Field | Value |
|---|---|
| Company | tvScientific |
| Title | Sr. Data Scientist |
| Normalized title | - |
| Department / team | tvScientific |
| Location | San Francisco, United States |
| Work model | Remote / Remote |
| Employment type | Regular |
| Salary | - |
| Status | active |
| ATS provider | Greenhouse |
| Posted / first seen | 2026-02-25 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from tvScientific. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Greenhouse. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in San Francisco. | Open |
| Department jobs | Active postings in tvScientific. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | tvScientific |
| Source | 1b2bbf4c-dcaf-47b8-9e96-665b1a2c2324 |
| ATS provider | Greenhouse |
Description
About tvScientific
tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business.
As a key member of our Data Science team, you'll be responsible for turning data into actionable insights, driving business decisions, and owning analytics projects from inception to completion. Day to day, your role will involve developing customized reporting and analytics tools to meet the unique needs of our clients.
What you'll do:
Write production code in Python.
Design, launch, and analyze experiments to optimize ad campaigns.
Create reporting and analytics tools for the Data Science Team's customers.
Translate insights from reporting tools into tvScientific's Data Science Product.
What we're looking for:
Ability to write and review production-level code in Python.
Strong statistics and ML fundamentals.
Desire to work in a fast-growing environment—comfortable with ambiguity, ownership, scaling new products, and an experimental, iterative development process.
Experience defining and measuring the utility of new reporting and analytics tools.
Ability to quickly translate between DS Analytics & DS Product team.
Strong track record of providing high-quality service to the DS team’s customers/stakeholders.
Adtech or CTV experience.
Teaching experience is a plus.
Big data experience with Scala, Apache Spark, Apache Beam, and AWS Athena is a plus.
In-Office Requirement Statement:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SM4
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here .
US based applicants only $139,764 — $287,749 USD
Full job record
| Job ID | a20838a0458b54069e026b596896dd8a4e1a4b5f |
| Org ID | a0fa9a57-db70-4622-aa0a-b751627e5136 |
| Source ID | 1b2bbf4c-dcaf-47b8-9e96-665b1a2c2324 |
| Board ID | 1b2bbf4c-dcaf-47b8-9e96-665b1a2c2324 |
| Provider | greenhouse |
| Provider Job Key | 7655667 |
| Title | Sr. Data Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | San Francisco, CA, US; Remote, US |
| Department | tvScientific |
| Team | — |
| Employment Type | Regular |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | — |
| City | San Francisco |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://job-boards.greenhouse.io/tvscientificpoweredbypinterest/jobs/7655667 |
| Apply URL | https://job-boards.greenhouse.io/tvscientificpoweredbypinterest/jobs/7655667 |
| First Seen At | 2026-05-29 22:40:10Z |
| Last Seen At | 2026-06-06 19:28:24Z |
| Last Checked At | 2026-06-06 19:28:24Z |
| Last Changed At | 2026-06-06 07:31:56Z |
| Inactive At | — |
| Source Posted At | 2026-02-25 20:15:03Z |
| Source Updated At | 2026-06-04 19:57:19Z |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=tvscientificpoweredbypinterest/date=2026-06-06/2026-06-06T19-28-23-999Z-dffba419fa0b1dbbce667a513805bb0e306eda52129361c88df0daab924adbc9.json |
Event Fields
{
"content_hash": "5f6222886e5879a4a0757cb7ab4f3e970be6b873141370fe2a8561b0d8853642",
"source_hash": "17b05d0093fdcd22969e84b79870bab7dee2166f6ef55c666bc06386ab33511b",
"last_changed_at": "2026-06-06T07:31:56.048Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "San Francisco, CA, US",
"city": "San Francisco",
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"salary_max": null,
"salary_min": null,
"inferred_at": "2026-06-06T19:28:24.137Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "San Francisco, CA, US",
"city": "San Francisco",
"region": null,
"country": "United States",
"is_remote": true,
"confidence": 0.95
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": null,
"workplace_type": "remote",
"salary_currency": null
}Extensions
{}Native Structured
{
"title": "Sr. Data Scientist",
"offices": [
{
"id": 83,
"name": "San Francisco",
"location": "San Francisco, CA, US",
"child_ids": [],
"parent_id": 78376
}
],
"language": "en",
"location": {
"name": "San Francisco, CA, US; Remote, US"
},
"metadata": [
{
"id": 5955,
"name": "Employment Type",
"value": "Regular",
"value_type": "single_select"
},
{
"id": 16373425,
"name": "Career Track",
"value": "Individual Contributor",
"value_type": "single_select"
},
{
"id": 61175930,
"name": "Careers Page Department",
"value": [
"Engineering",
"tvScientific"
],
"value_type": "multi_select"
}
],
"updated_at": "2026-06-04T15:57:19-04:00",
"departments": [
{
"id": 340118,
"name": "tvScientific",
"child_ids": [],
"parent_id": 340117
}
],
"company_name": "tvScientific",
"requisition_id": 3367954,
"first_published": "2026-02-25T15:15:03-05:00",
"application_deadline": null
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/a20838a0458b54069e026b596896dd8a4e1a4b5f?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/a0fa9a57-db70-4622-aa0a-b751627e5136JSONGET https://api.bluedoor.sh/job-postings/v1/sources/1b2bbf4c-dcaf-47b8-9e96-665b1a2c2324JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/a20838a0458b54069e026b596896dd8a4e1a4b5f/eventsJSON