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1 099

Data Scientist Junior jobs in France

Sr. Data Scientist I

DoubleVerify

Paris
Hybrid
EUR 80,000 - 100,000
Yesterday
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Data Scientist — Personalization & Customer Analytics (Remote EU)

F. Schumacher & Co.

Paris
Remote
EUR 60,000 - 85,000
Yesterday
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Data Scientist

F. Schumacher & Co.

Paris
Remote
EUR 60,000 - 85,000
Yesterday
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Alternant/e Data Analyst F/H

EDF

Avaray
On-site
EUR 40,000 - 60,000
Yesterday
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Data Engineer en Alternance — 100% Distance

Simplon

Lille
Remote
EUR 40,000 - 60,000
Yesterday
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Data Engineer - Lille - Formation en alternance à distance

Simplon

Lille
Remote
EUR 40,000 - 60,000
Yesterday
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Data Analyst (H/F) - Stage 6 mois (stage de césure ou de fin d'études possible)

Allphins

Paris
On-site
EUR 40,000 - 55,000
Yesterday
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Data Analyst en Alternance IA & Analytics

OpenClassrooms

Boulogne-Billancourt
On-site
EUR 40,000 - 60,000
Yesterday
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Data Engineer - Décisionnel & Data Factory (H/F)

Crédit Mutuel

Villeneuve-d'Ascq
On-site
EUR 40,000 - 50,000
Yesterday
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Senior Data Engineer: Spark & Big Data on Site Brittany

VISIAN

Vannes
On-site
EUR 45,000 - 60,000
Yesterday
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Data Engineer (F/H) - Synchrone

Synchrone

Lille
On-site
EUR 40,000 - 55,000
Yesterday
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Data Engineer - Vannes (IT) / Freelance

VISIAN

Vannes
On-site
EUR 45,000 - 60,000
Yesterday
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Cloud Machine Learning Engineer - EMEA remote

Hugging Face

Paris
Hybrid
EUR 70,000 - 90,000
Yesterday
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Senior Data Scientist – IA Générative & MLOps

Talan

Paris
Hybrid
EUR 60,000 - 80,000
Yesterday
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Consultant Data Scientist Senior (IA / IA Générative) - H/F - CDI

Talan

Paris
Hybrid
EUR 60,000 - 80,000
Yesterday
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Data Analyst Risques & Crédit – Banque (CDI)

Leihia

Nogent-sur-Marne
On-site
EUR 40,000 - 55,000
Yesterday
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Data Analyst – Risques & Crédit H/F

Leihia

Nogent-sur-Marne
On-site
EUR 40,000 - 55,000
Yesterday
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Cloud-Native Data Engineer for Data Quality & Insights

emagine

Issy-les-Moulineaux
On-site
EUR 45,000 - 60,000
Yesterday
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Data Engineer (h/f)

emagine

Issy-les-Moulineaux
On-site
EUR 45,000 - 60,000
Yesterday
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Data Analyst - Rejoins une Data Academy innovante

CENISIS Data Agency

Lille
On-site
EUR 40,000 - 50,000
Yesterday
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Data Analyst F/H

CENISIS Data Agency

Lille
On-site
EUR 40,000 - 50,000
Yesterday
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Senior Data Scientist — AI Automation & Production

DoubleVerify

Paris
Hybrid
EUR 80,000 - 100,000
Yesterday
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Data Engineer: Remote & Scalable Data Pipelines

Amaris Consulting

Lille
Hybrid
EUR 40,000 - 60,000
Yesterday
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Data Engineer F/H/X

Amaris Consulting

Lille
Hybrid
EUR 40,000 - 60,000
Yesterday
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Data Engineer Confirmé — Pipelines Fiables & Télétravail

Sopra Steria USA

Villeneuve-d'Ascq
Hybrid
EUR 40,000 - 60,000
Yesterday
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Senior Data Scientist I
DoubleVerify
Paris
Hybrid
EUR 80,000 - 100,000
Full time
Yesterday
Be an early applicant

Job summary

A leading digital campaign technology firm in Paris is looking for a Senior Data Scientist to enhance their bidding algorithms. The role entails managing projects from concept to deployment, mentoring juniors, and analyzing vast datasets. Candidates should hold an MS degree in applied mathematics and have 3 to 5 years of experience in Data Science with strong programming skills in Python and familiarity with SQL. This full-time position offers a competitive compensation package and a hybrid working model.

Qualifications

  • 3 to 5 years of professional experience in Data Science.
  • Strong understanding of automation and data-driven decision making.
  • Experience deploying machine learning models.

Responsibilities

  • Manage projects end-to-end from proof-of-concept to deployment.
  • Mentor junior developers and conduct code reviews.
  • Handle massive datasets with billions of variables.
  • Solve complex scaling and engineering problems.
  • Collaborate with commercial teams to improve algorithms.
  • Automate repetitive processes and AI routine development.

Skills

Data Science
Machine Learning
Statistical Analysis
Python
C++

Education

MS degree in applied mathematics

Tools

SQL
Kubernetes
Docker
Google Cloud
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 Senior 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!

Day‑to‑day Responsibilities
  • 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 (e.g., statistics, probabilities, operations research, machine learning).
  • 3 to 5 years of professional experience in Data Science with Python/C++.
  • Passion for automation and data‑driven decisions.
Preferred qualifications
  • Proven professional experience in a SQL‑like language.
  • Experience deploying machine learning models into production environments.
  • Previous experience leading technical projects or mentoring team members.
Technical stack relevant to the position
  • Python
  • SQL
  • Kubernetes, Docker, Github
  • Google Cloud Environment, App Engine Standard, Cloud SQL, Google Cloud Datastore
Our Culture
  • Do things only once. No repetitive task survives ingenuity and automation: at Scibids, everything needs to scale!
  • Base your decisions on data points. Preconceived personal convictions rarely survive thorough confrontation with actual data.
  • Have a good laugh. We are a young, hard‑working team with huge ambitions: nothing wipes off long hours of work better than sharing a drink with the team!
Others
  • Contract type: full‑time position (French “CDI”).
  • Based in Paris (75008) – Champs‑Elysées
  • Preferred availability: ASAP
  • Compensation: competitive package including fixed salary.
  • Exact figures depend on profile.

#Hybrid

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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