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.
Lead 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 postingAs our Lead Data Scientist (Data & CTV) based in our New York office, you will act as the technical anchor and people lead for our US analytics expansion.
You will bridge deep statistical analysis with strategic product decisions, partnering directly with Product Management, Engineering, and Global Data teams to establish rigorous standards for data quality, auction mechanics, and performance analytics.
Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor.
From the employer’s posting
As our Lead Data Scientist (Data & CTV) based in our New York office, you will act as the technical anchor and people lead for our US analytics expansion. In this hybrid player-coach role, you will hire and lead a team of data professionals while remaining hands-on with high-impact initiatives across programmatic auction dynamics, identity, incrementiality and our rapidly expanding Connected TV (CTV) product line.
You will bridge deep statistical analysis with strategic product decisions, partnering directly with Product Management, Engineering, and Global Data teams to establish rigorous standards for data quality, auction mechanics, and performance analytics.
Responsibilities Leadership & Mentorship: Lead, mentor, and grow a team of 2 data scientists/analysts in the US. Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor. Hands-on Execution (IC): Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python to uncover market inefficiencies, bidding dynamics, and revenue opportunities.
What you’ll bring
All qualificationsCore experience
- Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science).
- 7+ years of experience in advanced data analytics, product analytics, or applied data science roles dealing with large-scale datasets.
- Proven experience (2+ years) mentoring, coaching, or managing data professionals in a player-coach capacity.
- Experience in AdTech, programmatic advertising (DSP/SSP/RTB), or marketplace dynamics is a strong plus.
Qualification wording
Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science).
7+ years of experience in advanced data analytics, product analytics, or applied data science roles dealing with large-scale datasets.
Proven experience (2+ years) mentoring, coaching, or managing data professionals in a player-coach capacity.
Experience in AdTech, programmatic advertising (DSP/SSP/RTB), or marketplace dynamics is a strong plus.
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
- Leadership & Mentorship: Lead, mentor, and grow a team of 2 data scientists/analysts in the US. Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor. - Hands-on Execution (IC): Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python to uncover market inefficiencies, bidding dynamics, and revenue opportunities. - CTV & Data Strategy: Serve as the technical expert for our US CTV footprint, analyzing performance to ensure a constant improvement in the measurable KPIs, supply-path optimization (SPO), cross-screen measurement, and auction mechanics.
- Proven experience (2+ years) mentoring, coaching, or managing data professionals in a player-coach capacity. - Advanced expertise in SQL and strong programming capabilities in Python or R for exploratory data analysis, statistical modeling, and data pipelines. - Solid foundation in applied statistics, hypothesis testing, experiment design, and data validation methodologies.
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
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
As our Lead Data Scientist (Data & CTV) based in our New York office, you will act as the technical anchor and people lead for our US analytics expansion. In this hybrid player-coach role, you will hire and lead a team of data professionals while remaining hands-on with high-impact initiatives across programmatic auction dynamics, identity, incrementiality and our rapidly expanding Connected TV (CTV) product line.
You will bridge deep statistical analysis with strategic product decisions, partnering directly with Product Management, Engineering, and Global Data teams to establish rigorous standards for data quality, auction mechanics, and performance analytics.
Responsibilities
- Leadership & Mentorship: Lead, mentor, and grow a team of 2 data scientists/analysts in the US. Own workload prioritization, analytical quality, and professional growth while fostering a culture of statistical rigor.
- Hands-on Execution (IC): Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python to uncover market inefficiencies, bidding dynamics, and revenue opportunities.
- CTV & Data Strategy: Serve as the technical expert for our US CTV footprint, analyzing performance to ensure a constant improvement in the measurable KPIs, supply-path optimization (SPO), cross-screen measurement, and auction mechanics.
- Data Product Enablement: Partner with Product to translate complex statistical anomalies and performance signals into production-ready product requirements and self-service analytics frameworks.
- Frameworks & Governance: Establish clear standards for peer reviews, exploratory data analysis, metric definitions, and dashboard validation across US initiatives.
Requirements
- Bachelor’s or Master’s degree in a quantitative field (Statistics, Mathematics, Computer Science, Economics, Engineering, or Data Science).
- 7+ years of experience in advanced data analytics, product analytics, or applied data science roles dealing with large-scale datasets.
- Proven experience (2+ years) mentoring, coaching, or managing data professionals in a player-coach capacity.
- Advanced expertise in SQL and strong programming capabilities in Python or R for exploratory data analysis, statistical modeling, and data pipelines.
- Solid foundation in applied statistics, hypothesis testing, experiment design, and data validation methodologies.
- Strong business acumen with the ability to communicate nuanced statistical insights clearly to executive and non-technical stakeholders.
- Experience in AdTech, programmatic advertising (DSP/SSP/RTB), or marketplace dynamics is a strong plus.
- 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
About the Role As our Lead Data Scientist (Data & CTV) based in our New York office, you will act as the technical anchor and people lead for our US analytics expansion. In this hybrid player-coach role, you will hire and lead a team of data professionals while remaining hands-on with high-impact initiatives across programmatic auction dynamics, identity, incrementiality and our rapidly expanding Connected TV (CTV) product line. You will bridge deep statistical analysis with strategic product decisions, partnering directly with Product Management, Engineering, and Global Data teams to establish rigorous standards for data quality, auction mechanics, and performance analytics.
- Work authorization
- Experience in AdTech, programmatic advertising (DSP/SSP/RTB), or marketplace dynamics is a strong plus. - 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