Sr Data Scientist II

DoubleVerify; Paris; Sur place; EUR 56 000 - 101 000; Plein temps

Résumé du poste

DoubleVerify is looking for a Senior Data Scientist II to design and optimize ad performance through sophisticated algorithms. This role requires a Master’s degree in applied mathematics and significant programming experience, particularly in Python, C++, or C#. Candidates will work with large datasets and collaborate within agile teams to deliver high-quality products.

The estimated salary range for this role in Paris is €56,000 - €101,000, with potential bonuses and equity based on qualifications.

Qualifications

• Master's degree in applied mathematics, machine learning, statistics, or similar.
• 3+ years of programming experience in Python, C++, C#, or similar.
• Experience with DevOps tools is essential.

Responsabilités

• Evaluate and improve DV Scibids optimization algorithms.
• Design and develop new products and features for DV Scibids.
• Work with massive datasets and operate production environments.

Connaissances

Programming experience (Python, C++, C#)

DevOps (Git, CI/CD, Docker)

Statistical methods

Communication skills

Mentoring

Formation

Master’s degree in applied mathematics

Outils

Kubernetes

Cloud environments

Description du poste

DoubleVerify provides an End-to-end, comprehensive measurement and granular optimization. DoubleVerify is the recognized market innovator with the technology and tools that accurately authenticate the quality of digital media and drive ad performance for the world's largest brands. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best-in-class solutions across the digital ecosystem that help build a better industry.

The Role

As a Senior Data Scientist II, you own new initiatives, design, build and scale world-class bidding algorithms to optimize ad performance. This position will combine analytical rigour, a relentless curiosity, a strong knowledge of statistical methods and experience in implementing them.

Responsibilities

• Evaluate and improve DV Scibids optimization algorithms.
• Design, develop and test DV Scibids new products and features.
• Work with massive datasets (billions of ad impressions/month) and millions of variables.
• Operate production environments, investigate issues, assess their impact, and develop feasible solutions.
• Work in multi-functional agile teams with end-to-end responsibility for product development and delivery.
• Continuously release features using automated deployment tools and framework through Infra‑As‑Code.
• Provide code reviews and system design for team members.

Qualifications

• Master’s degree in applied mathematics (e.g., machine learning, statistics, probabilities, operations research).
• 3+ years of programming experience, preferably in Python, C++, C# or a similar language.
• Experience with DevOps domain – Git, CI/CD, Docker, and container clusters (Kubernetes).
• Familiarity with the Cloud environment.
• Strong communication skills and a team player.
• Mentoring experience with mid‑level engineers.
• Passion for automation and data‑driven decisions.
• Commitment to agile software processes, data‑driven development, reliability, and responsible experimentation.
• Familiarity with AdTech specific technical challenges is a plus.

Compensation & Benefits

The estimated salary range for this role is €56,000 - €101,000, based on the qualifications set forth in the job description. Base salary will be determined based on a number of non‑discriminatory factors, including qualifications, level, skills, experience, location and internal equity considerations. This role may also be eligible for bonus or commission (as applicable), equity and benefits.

Equal Employment Opportunity

DoubleVerify is an equal opportunity employer. As set forth in DoubleVerify’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.