Data Scientist II

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Scientist II Toronto, Ontario, Canada 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 II, 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) - Contribute

Read the full description at www.zoominfo.com. FewerJobs shows a source-linked preview and links to the original posting.