Scaled Insights Associate

Job Description:

Scaled Insights Associate

NYC

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

As a Scaled Insights Associate at IAS, you will be part of a highly performant team that is a center of innovation for the company and a major contributor to the company's core products. The Scaled Insights Associate works on challenging technical problems that cut across the entire Scaled Insights function. This includes helping to develop and deploy reusable assets such as ML/DL models, at scale, to enable insight discovery across IAS’s product portfolio. These assets function to create value for customers and IAS and to increase the thought leadership perception of IAS.

The ideal candidate has a track record of delivering deep learning-based models at scale, enjoys working with cross-functional commercial and technical partners to deliver scaled insights solutions within tight timelines, and brings innovative solutions to complex problems, always with a burning desire to improve the status quo.

You will leverage your research and data analytics skills to translate business questions from internal stakeholders and external customers into research projects, deliver actionable insights and reusable scaled insight materials that support ongoing insight needs across the organization and to customers.

What you’ll get to do :

• Support the generation of Scaled Insights reporting, templates and frameworks that align with advertiser and agency customer needs.
• Learn IAS data and ecosystems and apply governance and best practices to ensure reliable scaled outputs can be produced.
• Apply governance and best practices to tasks, ensuring outputs can be reduced. Focus primarily on internal support, but contribute to scalable insights that benefit multiple stakeholders.
• Use machine learning techniques such as correlation analysis and cluster analysis and modelling techniques to develop scenarios and help customers make advertising choices.
• Gather and manipulate proprietary platform data - often extremely dirty data - using best-in-class tools and methodologies
• Collaborate with data scientists, engineering and other business partners to explore new sources of data, improve operational efficiency, and increase scalability of insights
• Manage insights projects end-to-end, including research framework design, analysis of results, report development and presentation to internal and external stakeholders
• Partner with cross-functional teams to produce high-quality deliverables such as dashboards or other reports, assist in the development of communication strategies and support the creation of marketing campaigns to promote key research findings
• Employ online research and data visualization tools and platforms such as eMarketer, Databricks, and Looker.

You should apply if you have most of this experience:

• Bachelor’s degree in a related field.

Recent college graduate to 1 year of experience with research and data analysis experience An understanding of research methods and best practices, including experience with Generative AI with the ability to provide effective solutions.

• Excellent storyteller with the ability to transform quantitative data into engaging fact based, insight driven stories with actionable next steps.
• Strong presentation skills
• Ability to work collaboratively and effectively in a variety of team environments including in person, dispersed and hybrid team environments.
• Proficiency in Excel/Sheets and PowerPoint/Slides strongly preferred
• Experience with data analytics is highly desirable
• Knowledge of SQL, Looker, Databricks, Python and Tableau is an important plus

IAS Pay Transparency:

The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate’s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.

Primary Location:

US - New York, NY

Primary Location Base Pay Range:

$59,500.00 - $102,000.00 Annual

About Integral Ad Science:

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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