TheProductDataScientistworks with theproductteam toprovide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysison diverse product and market data sources. TheProduct DataScientist is responsible for modeling complex business problems through statistical, algorithmic, mining, and visualization techniques. Further, they will support senior leadership by creating business insights, reports, and analyses to aid in the decision-making processes andshape the way ISACA27sproductsare measured. The outputs of thisrole will assist in developing strategies, evaluating initiatives, and defining and tracking KPIs 6 leading the way for high-quality, data-driven decisions to be made by theproductteam. Their input will be essential to decision making forproductand initiatives that the team creates by helping define the way performance is measured and what questions we should be asking. This role will work closely with not only theproduct team, but also IT, Finance, Operations,and other departments.

Reporting & Analytics

• Performs large-scale experimentation and builds data-driven models to answer business questionsfrom structured and unstructured data sets

• Proactively minesinternal and external data sourcestoidentifytrends,patterns,and generate insightsintobusiness units and senior leadership

• Performs experimentation toidentifyhidden relationships between variables in datasets

• Researchand implementcutting-edgetechniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient

• Applystatistical analysis, machine learning,and visualization techniques to various data.

• Supporting theproductteam 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

Discovery & Insights

• Design and conduct data analysis on ISACA27s products and relevant markets,providingdeeper insights and enabling the organization to refine budgets, forecasts, and segmentation.

• Dive deep into data and provide insights and recommendations todrive product innovation,define product goals, andensureproductgoals and forecasts can be met or exceeded.

• Research and report on competitors and market trendsto benchmark ISACA27s current and potential offerings and inform go-to-market strategies

• Translate business needs into analytics/reporting requirements to supportstrategicdecisions andteamworkflows with required information

Stakeholder Management

• Create a roadmap fordataanalysis projects, working with stakeholders todetermineandestablishpriorities to balance ongoing projects with ad hoc requests.

• Facilitate communication across teams and stakeholders throughout all phases ofdata analysis, from ideation to measurementto reporting.

• Contribute to an effective work environment by setting a positive tone,establishingperformance expectations, and drivingaccountability.

Required Field of Study:

• Bachelor27s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

MinimumYears of ExperienceRequired:

• 3+yearsof data science, analytics, or product analytics experience.

Description ofMinimumExperienceRequired:

• Demonstrated ability to conduct and interpret quant.Analysis

• Proficiencyin visualization tools like Power BI and Tableau

• Experience withprogramming languages and/orstatistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS

• Knowledge ofstatistical and data mining techniques such asdescriptive and inferential statistics, feature engineering,generalized linear modeling,regression, text mining, hierarchical clustering,supervised and unsupervised learning, etc.

• Ability to express complex informationand communicate the 27data story27in simple,digestibleways

• Excellent written and oral communication skills

Preferred Field of Study:

• Bachelor27s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

PreferredYears of Experience:

• 5+yearsof data science, analytics, or product analytics experience.

Description ofPreferredExperience:

• Fluency in multiple programming languages and statistical analysis tools such as Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, SPSS

• Fluency inmultiplestatistical and data mining techniques such asdescriptive 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 ofAI capabilities