Sr. Data Scientist II

Senior Data Scientist II - Scibids

 

Role: Senior Data Scientist II - Scibids

Location: New York, NY

Hybrid: 3x a week on site

 

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 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

 

The Role:

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.

 

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.
• 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.

 

Who you are:

 

• 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.
• Familiarity with the AdTech industry is not required, but is a big plus.

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV.
The estimated salary range for this role based on the qualifications set forth in the job description is between $107,000 - $213,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!