Product Data Scientist

About ISACA

ISACA is a global professional association and learning organization that leverages the expertise of its 180,000+ members who work in digital trust fields such as information security, governance, assurance, risk, privacy and quality. It has a presence in 188 countries, including 225 chapters worldwide. Through the ISACA Foundation, ISACA supports IT education and career pathways for underresourced and underrepresented populations.

Overview

The Product Data Scientist works with the product team to provide an impact by leveraging data and analytical tools, strategic thinking, and hypothesis-based analysis on diverse product and market data sources. The Product Data Scientist 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 and shape the way ISACA’s products are measured. The outputs of this role will assist in developing strategies, evaluating initiatives, and defining and tracking KPIs – leading the way for high-quality, data-driven decisions to be made by the product team. Their input will be essential to decision making for product and 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 the product team, but also IT, Finance, Operations, and other departments.

Responsibilities

Reporting & Analytics

• 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

Discovery & Insights

• 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

Stakeholder Management

• 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.

Qualifications

Required Field of Study

• Bachelor’s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

Minimum Years of Experience Required

• 3+ years of data science, analytics, or product analytics experience.

Description of Minimum Experience Required

• Demonstrated ability to conduct and interpret quant. 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

Preferred Field of Study

• Bachelor’s degree in Business, Computer Science, Data Science, Information Science, or equivalent work experience

Preferred Years of Experience

• 5+ years of data science, analytics, or product analytics experience.

Description of Preferred 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

Equal Opportunity Employer (EEO)

ISACA is proud to be an equal opportunity employer. ISACA is committed to building an environment of diversity, equity, and inclusion where equal employment opportunities are available to all applicants and employees without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, age, ancestry, disability, genetic information, citizenship, sexual orientation, veteran status, marital status, familial status, military discharge status, or any other characteristic or status protected by federal, state, or local law. We support an inclusive workplace where employees excel based on merit, qualifications, experience, and ability.

Posted Salary Range

USD $74,659.00 - USD $111,988.00 /Yr.