Sr Data Scientist II

Who we are:

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 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 worlds 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

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.

What you will do:

• 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.
  
  

Who you are:

• 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 candidates 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 56000 - 101000. This role may also be eligible for bonus or commission (as applicable) equity and benefits.