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.
Senior Data Scientist
Charlotte, NC
Live, first seen by us 42 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingWe're looking for a Data Scientist to join a team focused on advertising inventory modeling and capacity forecasting for client's subscriber base.
The team works with a blend of client's proprietary subscriber data and third-party data sources.
Build and maintain models that align ad inventory with subscriber viewing profiles
Forecast advertising capacity, including sold vs. unsold and acquired vs. owned inventory
Incorporate newly integrated Cox first-party data into existing forecasting models
Work with first-party and third-party data sources
Do light data engineering tasks to support modeling work
From the employer’s posting
We're looking for a Data Scientist to join a team focused on advertising inventory modeling and capacity forecasting for client's subscriber base. This team builds models that match commercials and ads to subscriber profiles based on viewing behavior, identifies gaps in that targeting, and works to fill them through marketing data. A core part of the role is forecasting available advertising capacity — balancing sold vs. unsold airtime, and understanding the difference between acquired inventory and Spectrum's own inventory, as well as true demand vs. true capacity.
The team works with a blend of client's proprietary subscriber data and third-party data sources. Notably, data from Cox — previously treated as third-party — became first-party data as of a recent company merger, and this shift is actively being incorporated into forecasting models.
Build and maintain models that align advertising inventory with subscriber viewing profiles
Forecast advertising capacity, including sold vs. unsold airtime and acquired vs. owned (Spectrum) inventory
Incorporate newly integrated first-party data (from the Cox merger) into existing forecasting models
Work with both first-party (Charter, and now Cox) and third-party data sources
Take on light data engineering tasks as needed to support modeling work
What you’ll bring
All qualificationsCore experience
- Solid, practical data science experience
- Time series and forecasting experience
- Python and SQL
- Snowflake and AWS
- Comfort with data engineering work in support of modeling
Qualification wording
Solid, practical data science experience
Time series & Forecasting Experience
Languages/Tools: Python, SQL
Data Warehouse: Snowflake (corporate data warehouse)
Comfort doing some data engineering work in support of modeling
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 23, 202642 days ago
- Recorded sightings
- 76
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 42
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.
Delan Associates is hiring
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- SageMaker
- Snowflake
- Airflow
- PySpark
Where the posting names them
Tech Stack Languages/Tools: Python, SQL Time series & Forecasting Experience
Data Warehouse: Snowflake (corporate data warehouse) Cloud: AWS (fully cloud-based — no on-prem infrastructure) ML Tooling: Various data science libraries
ML Tooling: Various data science libraries Nice to Have: SageMaker, Airflow, PySpark
Time series & Forecasting Experience Data Warehouse: Snowflake (corporate data warehouse) Cloud: AWS (fully cloud-based — no on-prem infrastructure)
Your next step
Complete your application on delan-associates-inc.breezy.hr. The employer’s form will show what is required.
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Has Delan Associates posted this job before?
Yes. We’ve followed one other Senior Data Scientist job there since August 2026. It is still up.
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
Job Description:
Interviews: Live, Technical Hands On
About the Role
We're looking for a Data Scientist to join a team focused on advertising inventory modeling and capacity forecasting for client's subscriber base. This team builds models that match commercials and ads to subscriber profiles based on viewing behavior, identifies gaps in that targeting, and works to fill them through marketing data. A core part of the role is forecasting available advertising capacity — balancing sold vs. unsold airtime, and understanding the difference between acquired inventory and Spectrum's own inventory, as well as true demand vs. true capacity.
The team works with a blend of client's proprietary subscriber data and third-party data sources. Notably, data from Cox — previously treated as third-party — became first-party data as of a recent company merger, and this shift is actively being incorporated into forecasting models.
This is a great opportunity for a data scientist who enjoys applied modeling work with real business impact, in a fully cloud-based environment.
What You'll Do
Build and maintain models that align advertising inventory with subscriber viewing profiles
Forecast advertising capacity, including sold vs. unsold airtime and acquired vs. owned (Spectrum) inventory
Work with both first-party (Charter, and now Cox) and third-party data sources
Incorporate newly integrated first-party data (from the Cox merger) into existing forecasting models
Collaborate with a cross-functional team, following established CI/CD practices
Take on light data engineering tasks as needed to support modeling work
What We're Looking For
Solid, practical data science experience — this is not a role requiring deep specialization or "absolute expert" level skills
Someone who understands what they're doing and can work independently on modeling problems
Experience working as part of a team, ideally with exposure to CI/CD processes
Comfort doing some data engineering work in support of modeling (not a pure modeling-only candidate)
Candidates from a Finance background are not a strong fit for this role
Tech Stack
Languages/Tools: Python, SQL
Time series & Forecasting Experience
Data Warehouse: Snowflake (corporate data warehouse)
Cloud: AWS (fully cloud-based — no on-prem infrastructure)
ML Tooling: Various data science libraries
Nice to Have: SageMaker, Airflow, PySpark
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Charlotte, NC
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.