Time since we first saw it
Day 7
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.
Lead Data Scientist
Paris-France
Actively hiring, first seen by us 7 days ago- Pay
€59,000–101,000/yearAnnual period assumed. Location-specific pay — pay source
The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations. The estimated salary range for this role based on the qualifications set forth in the job description is between [€59,000 - €101,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingThe mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work.
As a Lead Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform.
Own ML projects from proof-of-concept through production deployment and monitoring
Mentor junior developers and run code reviews
Analyse billions of ad impressions and millions of variables
Solve scaling problems for a system producing thousands of ML models per day
Work with commercial and customer success teams to identify where new algorithms are needed
From the employer’s posting
The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work.
As a Lead Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution. This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer! On a day to day basis, your responsibilities will include:
Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring.
Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality.
Working with massive datasets (billions of ad impressions/month) and millions of variables.
Solving challenging scaling/engineering problems as our system produces thousands of ML models per day.
Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement.
What you’ll bring
All qualificationsCore experience
- 4+ years of professional experience in Data Science with Python/C++.
- Experience deploying machine learning models into production environments.
Preferred experience
- 3 days per week in the office
Qualification wording
4+ years of professional experience in Data Science with Python/C++.
Experience deploying machine learning models into production environments.
3 days per week in the office
Education & alternatives
Minimum qualifications: - MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning). - 4+ years of professional experience in Data Science with Python/C++.
About DoubleVerify
"DV Scibids" is a global leader in AI-powered digital campaign activation.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 12
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 20, 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
DoubleVerify is hiring
7 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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
- Docker
- Kubernetes
- C++
- GCP
Where the posting names them
- MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning). - 4+ years of professional experience in Data Science with Python/C++. - Experience deploying machine learning models into production environments.
Technical stack relevant to the position - Python - SQL
Preferred qualifications: - Proven professional experience in a SQL-like language. - Previous experience leading technical projects or mentoring team members.
- Python - SQL - Kubernetes, Docker, Github
- Kubernetes, Docker, Github - Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore Others
- SQL - Kubernetes, Docker, Github - Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore
Your next step
Complete your application on doubleverify.wd5.myworkdayjobs.com. The employer’s form will show what is required.
Applying through Workday
- You create an account with each employer before you can upload anything. Every Workday employer has its own account, so one sign-up doesn’t carry over.
- “Autofill with Resume” comes right after sign-in, before the My Information and My Experience steps. Check every field it fills in those steps, since that’s what recruiters see.
- Your application status lives in that employer’s Candidate Home, under the same sign-in.
Already applied? Track this application
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
About DV & Scibids
"DV Scibids" is a global leader in AI-powered digital campaign activation. Scibids' solutions empower global brands to effectively boost ad performance and outcomes while improving operational efficiency and reducing manual lift. DoubleVerify technology does not rely on digital identifiers such as cookies and can be activated across leading Demand-Side Platforms such as The Trade Desk, DV360, and Xandr to mention a few. To learn more visit https://doubleverify.com/scibids-ai/. DV Scibids' AI Optimisation technology equips these trading desks with machine learning solutions which use real-time performance data to discover the optimal amount to bid for each advertising opportunity, thus delivering the final advertisers significant lifts in performance and productivity. The technology developed by Scibids is rooted in a solid scientific and market expertise and now has a team of 30+ Data Scientists based in our Paris office, working alongside DV's global engineering and data science org.
About the Role
The mission of Scibids AI is to provide media buyers with fully automated buying strategies for display campaigns, leading to incomparable performances for a minimum of human work.
As a Lead Data Scientist, you will help shape and strengthen the Scibids DoubleVerify bidding algorithms — the central intelligence behind our platform. You will drive the evolution of our automation framework, transforming unmet business cases into scalable product enhancements. This role blends rigorous statistical thinking with hands-on implementation, demanding both intellectual precision and practical execution. This position will combine high development standards, a relentless curiosity, a strong understanding of DV's business priorities and the ambition for your work to become a real game changer! On a day to day basis, your responsibilities will include:
- Managing projects end-to-end, taking ownership from the initial proof-of-concept phase through to production deployment and monitoring.
- Mentoring junior developers, providing technical guidance, conducting code reviews, and sharing best practices to ensure high code quality.
- Working with massive datasets (billions of ad impressions/month) and millions of variables.
- Solving non-routine analysis problems (not handled by off-the-shelf ML solvers).
- Solving challenging scaling/engineering problems as our system produces thousands of ML models per day.
- Working closely with the commercial and customer success teams to help identify business cases where a new algorithm is needed or existing ones need improvement.
- Identifying and automating any repetitive process taking place at Scibids, including cases where this means developing some AI routines replacing “human common sense.”
Minimum qualifications:
- MS degree in applied mathematics or data science (e.g., statistics, probabilities, operations research, machine learning).
- 4+ years of professional experience in Data Science with Python/C++.
- Experience deploying machine learning models into production environments.
Preferred qualifications:
- Proven professional experience in a SQL-like language.
- Previous experience leading technical projects or mentoring team members.
- Passion for automation and data-driven decisions.
Technical stack relevant to the position
- Python
- SQL
- Kubernetes, Docker, Github
- Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore
Others
- Contract type: full-time position (French “CDI”).
- 3 days per week in the office
- Based in Paris (75008) – Saint Lazare
- Preferred availability: ASAP
The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations.
The estimated salary range for this role based on the qualifications set forth in the job description is between [€59,000 - €101,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The successful candidate’s base salary will be determined based on a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity considerations. The estimated salary range for this role based on the qualifications set forth in the job description is between [€59,000 - €101,000]. This role may also be eligible for bonus or commission (as applicable), equity and benefits.
- Location & working pattern
Paris-France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.