Back to jobs

Senior Data Scientist

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 USMust 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.What We Offer
Read the full posting

What you’ll work on

Full posting

We are looking for a Senior Data Scientist to lead the analytics initiatives that underpin our core product and platform integrity.

You will collaborate closely with Product Managers and Platform Engineers to ensure our analytical signals are accurate, our identity graphs are reliable, and our causal experiment frameworks deliver verifiable business value.

What you’ll bring

All qualifications

Core experience

  • Master’s or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
  • 4+ years of professional experience in advanced data analytics, product analytics, or data science environments.
  • Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation.
  • Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.
  • Excellent communication skills, with an ability to justify statistical trade-offs and methodologies to product managers, engineers, and leadership.
  • Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed.
Qualification wording
Master’s or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
4+ years of professional experience in advanced data analytics, product analytics, or data science environments.
Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation.
Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.
Excellent communication skills, with an ability to justify statistical trade-offs and methodologies to product managers, engineers, and leadership.
Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed.
Apply at Smadex

Posting record

Report an error

Actively 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

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.

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
Hiring record

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
  • NumPy
  • pandas
  • SciPy
Where the posting names them
- Product Partnership: Act as the dedicated Data Science counterpart for Product Managers, translating product roadmaps into rigorous analytical test beds and measurable KPIs. - Advanced Analytics: Write clean, modular SQL queries and Python scripts to prototype statistical solutions, diagnostic frameworks, and metric pipelines before handing them off to platform engineering. Requirements
- Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation. - Advanced mastery of SQL and proficient data processing skills in Python or R (Pandas, NumPy, SciPy, Statsmodels). - Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.

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 Senior Data Scientist job there since November 2026. It is still up.

  1. AustinStill up after 0 days, first seen Nov 12
  2. This jobUp 0 days so far, first seen Nov 12

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.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,403, the most 2,949, and the latest week had 2,098.
August 17Last week

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

View original posting ↗

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 looking for a Senior Data Scientist to lead the analytics initiatives that underpin our core product and platform integrity. In this role, you will be the primary technical authority for Data Science for Product, owning the frameworks for data quality, accuracy, identity resolution, and incrementality measurement.

You will collaborate closely with Product Managers and Platform Engineers to ensure our analytical signals are accurate, our identity graphs are reliable, and our causal experiment frameworks deliver verifiable business value.

Responsibilities

  • Product Data Integrity: Own and standardize the methodologies for data quality, statistical anomaly detection, and accuracy across billions of daily auction events.
  • Identity & Attribution: Investigate and design analytical methodologies around identity resolution, cross-environment matching, and privacy-first measurement frameworks.
  • Experimentation & Incrementality: Develop, validate, and standardize frameworks for A/B testing, causal inference, and incrementality testing to prove genuine marketing lift.
  • Product Partnership: Act as the dedicated Data Science counterpart for Product Managers, translating product roadmaps into rigorous analytical test beds and measurable KPIs.
  • Advanced Analytics: Write clean, modular SQL queries and Python scripts to prototype statistical solutions, diagnostic frameworks, and metric pipelines before handing them off to platform engineering.

Requirements

  • Master’s or Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative discipline.
  • 4+ years of professional experience in advanced data analytics, product analytics, or data science environments.
  • Deep knowledge of applied statistics: causal inference, experiment design (A/B testing), regression analysis, and metric variance estimation.
  • Advanced mastery of SQL and proficient data processing skills in Python or R (Pandas, NumPy, SciPy, Statsmodels).
  • Demonstrated experience establishing data quality benchmarks, defining source-of-truth metrics, or working on identity/measurement models.
  • Excellent communication skills, with an ability to justify statistical trade-offs and methodologies to product managers, engineers, and leadership.
  • Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed.
  • 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

View original posting ↗

Source notes

Source excerpts

Selected 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
- Prior experience in AdTech, programmatic bidding, or user identity frameworks is a strong plus, but strong product analytics experience from other data-intensive fields (e.g., e-commerce, fintech, marketplaces) is welcomed. - 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.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.