Sr Data Scientist II

"DoubleVerify Scibids" is a global leader in AI-powered digital campaign activation. Scibids empowers global brands to drive specific KPIs and tangible outcomes more effectively 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 (Google / YouTube) to mention a few. To learn more visit https://doubleverify.com/scibids-ai/

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. Learn more at doubleverify.com

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.

• →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.
  
  

• Masters 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.
• You provide mentoring to mid-level engineers.
• Passion for automation and data-driven decisions.
• Care about agile software processes, data-driven development, reliability, and responsible experimentation.
• Familiarity with the AdTech specific technical challenges is not required, but is a plus.

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 €56,000 - €101,000. This role may also be eligible for bonus or commission (as applicable), equity and benefits.