Pay
$154K–$226K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,103 postings in the last year. Stated ranges, not salaries paid.
Lead Data Scientist
Reads like a Data Leadership role: running a data team.
New York, NY
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listedSimilar roles state $154K–$226K
- 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.
Lead, mentor and grow a team of 2 data scientists/analysts in the US
Analyze large RTB and CTV datasets in SQL and Python to find bidding and revenue opportunities
Own US CTV performance, supply-path optimization and cross-screen measurement
Turn statistical findings into product requirements and self-service analytics
Set standards for peer reviews, metric definitions and dashboard validation
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.
Lead, mentor, and grow a team of 2 data scientists/analysts in the US
Deep-dive into massive, fast-moving RTB and CTV datasets using SQL and Python
Serve as the technical expert for our US CTV footprint
translate complex statistical anomalies and performance signals into production-ready product requirements and self-service analytics frameworks
Establish clear standards for peer reviews, exploratory data analysis, metric definitions, and dashboard validation
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 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 12, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 14, 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 2
Early. Similar jobs usually come down between day 8 and day 57.
At Smadex, jobs usually come down by about day 104.
From 9,507 similar postings that came down, and 22 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.
- 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 Leadership roles
New Data Leadership postings at the employers we follow are about the same 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 Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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