Scaled Insights Associate at Integral Ad Science in New York, NY

Summary: Integral Ad Science (IAS) is a leading global media measurement and optimization platform. As a Scaled Insights Associate, you will work on developing and deploying machine learning models to provide insights across IAS’s product portfolio, collaborating with various teams to enhance operational efficiency and scalability of insights. Responsibilities: - 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 Required Qualifications: - 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 Preferred Qualifications: - Experience with data analytics is highly desirable - Knowledge of SQL, Looker, Databricks, Python and Tableau is an important plus Required Skills: Machine Learning, Deep Learning, Generative AI, Research Methods, Data Analysis, SQL, Python, Looker, Databricks, Tableau, Excel, PowerPoint Benefits: Paid time off, Health insurance (medical, dental, vision), PPO, HSA and FSA options, 401k with employer matching contributions, Competitive compensation, Annual bonus and/or other incentive plans