Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
New York, NY
Actively hiring, first seen by us 7 hours ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work in the US
Must be legally authorized to work in the United States without current or future sponsorship needs
- Eligibility
Please note that we do NOT provide VISA sponsorship. — eligibility source
Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.
Read the full posting
What you’ll work on
Full postingWe are seeking an analytical, detail-driven Data Scientist (CTV Analytics) to join our New York team.
You will dig into massive volumes of streaming and programmatic bidstream data, diagnosing performance bottlenecks, testing buying strategies, and providing actionable recommendations to maximize ROAS and campaign scale for our advertising partners.
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).
- 1–2 years of professional experience analyzing large datasets (internships or relevant analytical projects included).
- Strong SQL proficiency (complex joins, window functions, query optimization on massive databases).
- Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization.
- Solid understanding of foundational statistics (distributions, correlation vs.
Preferred experience
- Familiarity with Connected TV (CTV), digital advertising, or auction systems is a distinct advantage, but not strictly required.
Qualification wording
Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).
1–2 years of professional experience analyzing large datasets (internships or relevant analytical projects included).
Strong SQL proficiency (complex joins, window functions, query optimization on massive databases).
Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization.
Solid understanding of foundational statistics (distributions, correlation vs. causation, hypothesis testing).
Familiarity with Connected TV (CTV), digital advertising, or auction systems is a distinct advantage, but not strictly required.
Benefits in the posting
Full benefits wording- Medical, dental, and vision benefits plans.
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 2026today
- Recorded sightings
- 1
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 0
Early. Similar jobs usually come down between day 8 and day 59.
At Smadex, jobs usually come down by about day 104.
From 11,556 similar postings that came down, and 21 of Smadex’s. Coming down is not always a hire.
Smadex is hiring
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Its jobs tend to stay up a long time
- 20% of open jobs were reposted
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
- R
- SQL
Where the posting names them
- Strong SQL proficiency (complex joins, window functions, query optimization on massive databases). - Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization. - Solid understanding of foundational statistics (distributions, correlation vs. causation, hypothesis testing).
- 1–2 years of professional experience analyzing large datasets (internships or relevant analytical projects included). - Strong SQL proficiency (complex joins, window functions, query optimization on massive databases). - Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization.
Your next step
Complete your application on smadexslu.applytojob.com. The employer’s form will show what is required.
Applying through JazzHR
- No account needed: one application form on the employer’s applytojob.com page.
Already applied? Track this application
Has Smadex posted this job before?
Yes. We’ve followed one other Data Scientist job there since September 2026. It is still up.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Smadex is a performance advertising engine for mobile apps, enabling the world's leading marketers to grow across Mobile and Connected TV (CTV). Powered by cutting-edge data architecture and predictive analytics trained on real campaign outcomes, Smadex delivers profitable growth at scale. Headquartered in Barcelona, with teams across the Americas, EMEA, and APAC, Smadex is a business unit of Entravision (NYSE: EVC).
About the Role
We are seeking an analytical, detail-driven Data Scientist (CTV Analytics) to join our New York team. In this individual contributor role, you will focus on optimizing how we buy, deliver, and measure performance across Connected TV (CTV) inventory.
You will dig into massive volumes of streaming and programmatic bidstream data, diagnosing performance bottlenecks, testing buying strategies, and providing actionable recommendations to maximize ROAS and campaign scale for our advertising partners.
Responsibilities
- CTV Strategy Optimization: Analyze campaign delivery, bid shading, floor pricing, and fill rates across streaming platforms and SSPs to optimize buying strategies.
- Performance Deep-Dives: Run exploratory analyses and statistical deep-dives to diagnose fluctuations in campaign performance, inventory quality, and ad spend efficiency.
- Data-Driven Insights: Translate complex auction telemetry and viewing signals into clear, actionable recommendations for our commercial, programmatic operations, and product teams.
- Metric Definition & Reporting: Build reliable, repeatable analytical workflows and ad-hoc statistical summaries to evaluate cross-device reach and frequency.
- Cross-Functional Collaboration: Work closely with the US Data Lead and Machine Learning team to validate hypotheses and measure the commercial impact of optimization changes.
Requirements
- Bachelor’s degree in a quantitative discipline (Statistics, Economics, Mathematics, Computer Science, Engineering, or related).
- 1–2 years of professional experience analyzing large datasets (internships or relevant analytical projects included).
- Strong SQL proficiency (complex joins, window functions, query optimization on massive databases).
- Practical experience working in Python or R for data wrangling, exploratory statistical analysis, and visualization.
- Solid understanding of foundational statistics (distributions, correlation vs. causation, hypothesis testing).
- Curious, proactive mindset with strong problem-solving skills and attention to data edge cases.
- Familiarity with Connected TV (CTV), digital advertising, or auction systems is a distinct advantage, but not strictly required.
- Must be legally authorized to work in the United States without current or future sponsorship needs.
Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered.
What We Offer
- Be part of a leading, fast-growing, innovative company shaping the future of mobile advertising.
- Join a highly motivated and young team.
- Possibility of traveling to the Barcelona HQ for collaboration and team-building activities after your first year.
- Great compensation package tailored to the U.S. market.
- Medical, dental, and vision benefits plans.
- Exposure to leading global app publishers and media partners in the digital advertising industry.
- Learning and training opportunities to grow your career.
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
New York, NY
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Familiarity with Connected TV (CTV), digital advertising, or auction systems is a distinct advantage, but not strictly required. - Must be legally authorized to work in the United States without current or future sponsorship needs. Please note that we do NOT provide VISA sponsorship. Candidates without a work authorization to work in the US won't be considered. What We Offer