
Nicholas S.
AI Product Engineer @ TaxCloud
About
Experienced Data Scientist Data professional with expertise in leveraging machine learning and big data technologies to deliver personalized services. Skilled in collaborating cross-functionally to achieve business and financial objectives. Instrumental in creating and developing data solutions that improve processes, enhance productivity, and drive bottom line results. Technical proficiency with a variety of analytical tools, i.e.: Spark (Scala), Python (NumPy, Pandas, sklearn), R, and SQL.
United States
Minneapolis
Internet
Python, Apache Spark, Machine Learning, Statistics, Data Analysis, E-commerce, Business Analysis, SAS Programming, NLP, R, SQL, Matlab, Unix, Scala, RESTful WebServices, Docker, TensorFlow, SAS, Hadoop, Jupyter
Experience

Head of Data Science
Minneapolis, Minnesota, United States
Pioneered Industry-First AI Agent for Web Application Security Mapping Architected NetSPI's groundbreaking AI agent that autonomously discovers comprehensive web application attack surfaces by simulating authentic user behavior—clicking links, filling forms, and navigating dynamic UI. This production solution revolutionized penetration testing by enabling security teams to identify vulnerabilities that traditional crawlers miss in modern JavaScript frameworks and single-page applications. Established Open LLM Security Standards Through Published Research Authored NetSPI's Open LLM Security Benchmark (github.com/NetSPI/Open-LLM-Security-Benchmark), introducing the industry's first comprehensive methodology for quantifying the critical tradeoff between LLM security hardening and operational usability. Designed agentic benchmarking system using adaptive adversarial techniques to test jailbreakability while measuring functional performance, enabling enterprises to make risk-informed AI deployment decisions. Published open-source framework aligns with NIST and OWASP standards, establishing NetSPI as thought leader in AI/ML security. Built Business Intelligence Function Driving Strategic Decision-Making Founded and scaled NetSPI's BI group from zero, hiring and training the first analyst while establishing enterprise-wide analytics capabilities. Architected revenue forecasting system integrating sales pipeline, project backlog, and assignment tracking—extending forecast visibility from one month to two quarters while improving accuracy by 90%. Delivered cross-functional BI supporting Sales with pipeline analytics, Finance with SaaS and services KPIs, and Operations with utilization tracking. Recruited and transitioned BI leader to full ownership of the function.

Data Science Manager
Minnesota, United States
Developed a cutting-edge food delivery scheduling and routing algorithm using advanced reinforcement learning models, resulting in an immediate 100% increase in revenue. Designed Foodsby's data lake, analytics system, and AI/ML infrastructure on AWS, empowering data analysts and data scientists to swiftly answer business questions and train/deploy AI/ML models. Established and expanded Foodsby's data science team to 5 members.

Staff Data Scientist
Greater Los Angeles Area
Safeguarded Intuit and its customers from monthly losses exceeding $4 million by creating machine learning services that detect and decline fraudulent credit card and check transactions in real-time. Transformed our fraudulent transaction detection models from traditional machine learning approaches to state-of-the-art techniques by utilizing TensorFlow with a bidirectional LSTM architecture, resulting in potentially patentable advancements. Improved internal risk operations efficiency by 55% through the development of a model to prioritize our risk agents work load. Enhanced internal risk operations efficiency by 55% by developing a model to prioritize the workload of our risk agents.

Econometrician II
Greater Minneapolis-St. Paul Area
Progressed through roles from Econometrician Intern (2013) to Econometrician I (2014-15) and then to Econometrician II (2016). Leveraged Python to develop a random forest model that significantly improved the accuracy of fraud detection. Created and mentored the development of logistic models in SAS to detect fraudulent home insurance claims, preventing over $110,000 in fraud within six months. Designed a logistic model that boosted a marketing partner’s direct mail profitability by 98%. Established an analytics development network to promote best practices and advance techniques.

Business Analyst
Greater Minneapolis-St. Paul Area
Collaborated with multiple stakeholders to craft requirements and specifications for ecommerce website development for companies, such as Microsoft, VMware, and Electronic Arts (EA). Engineered and programmed a capacity forecaster to efficiently allocate human capital resources. Designed a cloud-based application to support cross-functional team and optimize project management.
Nicholas S.'s Contact Information
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