Note: The job is a remote job and is open to candidates in USA. ISACA champions the global workforce advancing trust in technology through knowledge, credentials, training, and professional networks. The Product Data Scientist partners with the product team and cross-functional stakeholders to analyze product and market data, build statistical and machine learning models, and generate insights. This role supports product strategy, KPI definition, experimentation, reporting, and data-driven decision-making.
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
- Support product team members’ efforts to build their data literacy with guided support and ad hoc training on data analysis results to make sure they are accurately relayed to business stake holders
- Work with cross-functional stakeholders to align data access and architectures across organizational initiatives and key data-driven projects
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 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
- * Tenacious, curious, and a fast learner – able to overcome obstacles to get answers
- * Enthusiasm for metrics, research, KPIs, and data exploration
- * Willingness and ability to learn new technologies on the job
- * Ability to communicate complex projects, models, and results to a diverse audience with a wide range of understanding
- * Ability to work in diverse, cross-functional teams in a dynamic business environment
- * Superior presentation skills, including storytelling and other techniques to guide and inspire
- * Impeccable follow through
- * Strong written and verbal communication skills to share insights and influence stakeholders
- * Ability to synthesize complex data into actionable insights and goals
- * Critical thinking skills to recommend original and productive ideas
- * Well organized, detail-oriented and self-motivated
- * Comfortable in a fast paced constantly changing environment
- * A self-starter with a strong bias for action
- Ability to travel, as needed, to meet with chapters, members, and partners; attend conferences, events, and organizational meetings; and participate in company-sponsored trainings. Periodic travel to the Pittsburgh office and other locations may be required to support team collaboration and business objectives
- * 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
Benefits
- Remote work
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