ZoomInfo Technologies LLC

Technology

DataScientistIII

CA$135–195k ~AI est. Toronto, Ontario, Canada
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Scientist III at ZoomInfo Technologies LLC”

Industry & Context.

Technology
Full Job Description

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. As a Data Scientist III, you will leverage theory, data, and research to solve business problems. You will support data science and analytics efforts across multiple areas of the business including Sales, Marketing, Finance, HR, and related functions. You will contribute to building and improving measurement and reporting processes. To this end, you will help teams access insights needed to operate effectively. This role will be responsible for drawing insights from large data sets, defining and implementing key model performance indicators, and for communicating insights and trends to support business decision-making, as it relates to data science-enabled decisions. This role will work with datasets relevant to assigned projects and business areas and be responsible to work closely with business stakeholders on measurement, success metrics, and analytics. Effectiveness in this position will require an understanding of technical methods and data engineering necessary to build and implement data science models, as well as knowing general industry trends, business objectives, and workforce dynamics. You will use data to develop insights, forecasts, metrics, dashboards and recommendations to inform decisions about our operations and go-to-market strategy. What You’ll Do (Essential Functions) Own data science projects end-to-end within your assigned business area. Scope ambiguous problems and define success metrics, through model development, deployment, and ongoing monitoring. Translate business questions from Sales, Marketing, Finance, HR, and related functions into well-defined data science problems with clear KPIs, deliverables,

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