Product Data Scientist

ISACA

Product Data Scientist leveraging data and analytical tools for ISACA's product innovation. Collaborating with teams to provide insights and support high-quality decision making.

Posted 6/26/2026full-timeSchaumburg • Illinois • 🇺🇸 United StatesMid-LevelSenior💰 $74,659 - $111,988 per yearWebsite

Tech Stack

Tools & technologies

JavaScriptPythonSQLTableau

About the role

Key responsibilities & impact

Works with the product team to leverage data and analytical tools
Responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques
Support senior leadership by creating business insights, reports, and analyses
Assisting in developing strategies, evaluating initiatives, and defining and tracking KPIs
Performing large-scale experimentation and building data-driven models
Proactively mining internal and external data sources to identify trends and generate insights
Researching and implementing cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence
Supporting product team throughout the development process
Designing and conducting data analysis on ISACA’s products and relevant markets

Requirements

What you’ll need

Bachelor’s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience
3+ years of data science, analytics, or product analytics experience
Demonstrated ability to conduct and interpret quantitative analysis
Proficiency in visualization tools like Power BI and Tableau
Experience with programming languages and/or statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
Knowledge of statistical and data mining techniques such as descriptive and inferential statistics, feature engineering, generalized linear modeling, regression, text mining, hierarchical clustering, supervised and unsupervised learning.
Ability to express complex information and communicate the ‘data story’ in simple, digestible ways
Excellent written and oral communication skills

Benefits

Comp & perks

Equal Opportunity Employer (EEO)
Commitment to building an environment of diversity, equity, and inclusion

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisstatistical analysismachine learningdeep learningdata miningvisualization techniquesfeature engineeringregressiontext miningKPI tracking

Soft Skills

communicationquantitative analysisproblem-solvingstrategic thinkinginsight generationreportingcollaborationpresentation skillsadaptabilitycritical thinking