Note: The job is a remote job and is open to candidates in USA. ISACA is a global professional association and learning organization that supports IT education and career pathways. The Product Data Scientist works with the product team to leverage data and analytical tools to create insights and reports that aid in decision-making and strategy development for ISACA’s products.

Responsibilities

• Performs large-scale experimentation and builds data-driven models to answer business questions from structured and unstructured data sets
• Proactively mines internal and external data sources to identify trends, patterns, and generate insights into business units and senior leadership
• Performs experimentation to identify hidden relationships between variables in datasets
• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient
• Apply statistical analysis, machine learning, and visualization techniques to various data
• Supporting the product team with analytics throughout the development process, from high-level product roadmap prioritization to post-launch review
• Overall, provide a detail-oriented, impact-oriented, customer-centric approach to data analysis
• Design and conduct data analysis on ISACA’s products and relevant markets, providing deeper insights and enabling the organization to refine budgets, forecasts, and segmentation
• Dive deep into data and provide insights and recommendations to drive product innovation, define product goals, and ensure product goals and forecasts can be met or exceeded
• Research and report on competitors and market trends to benchmark ISACA’s current and potential offerings and inform go-to-market strategies
• Translate business needs into analytics/reporting requirements to support strategic decisions and team workflows with required information
• Create a roadmap for data analysis projects, working with stakeholders to determine and establish priorities to balance ongoing projects with ad hoc requests
• Facilitate communication across teams and stakeholders throughout all phases of data analysis, from ideation to measurement to reporting
• Contribute to an effective work environment by setting a positive tone, establishing performance expectations, and driving accountability

Skills

• 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, etc
• Ability to express complex information and communicate the ‘data story' in simple, digestible ways
• Excellent written and oral communication skills
• Bachelor's degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience
• 5+ years of data science, analytics, or product analytics experience
• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS
• Fluency in multiple 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, etc
• Strong understanding of AI, its potential roles in solving business problems, and the future trajectory of AI capabilities

Company Overview

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