Product Data Scientist

ISACA•Schaumburg, IL

4d•$74,659 - $111,988

About The Position

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.

Requirements

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

Nice To Haves

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

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.