Sr. Data Scientist II
About The Position
"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/ Recently, DoubleVerify closed its acquisition of Scibids providing 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, you own new initiatives, design and build world-class bidding algorithms to optimize ad performance. This position will combine analytical rigor, a relentless curiosity, a strong knowledge of statistical methods and experience in implementing them.
Requirements
- Masters degree in applied mathematics (e.g. machine learning, statistics, probabilities, operations research).
- 3+ years of programming experience (excluding internships), preferably in Python, C++, C# or a similar language.
- Experience with DevOps domain - Git, CI/CD, Docker, and container clusters (Kubernetes).
- Excellent SQL query writing abilities and data understanding.
- 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.
Nice To Haves
- Familiarity with the AdTech industry is not required, but is a big plus.
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.
- Solve non-routine analysis problems (not handled by off-the-shelf ML solvers).
- Operate production environments, investigate issues, assess their impact, and develop feasible solutions.
- Understand business needs and work with product owners to establish priorities.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
