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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Specialist, Data Scientist - **Company:** Pearson - **Location:** Bloomington, MN, United States - **Experience:** Expert - **Salary:** $165,000.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Business Analytics Applications, Data Analysis, Big Data, Cyber Security, Fraud Prevention and Detection, Python (Programming Language), Machine Learning, Standard Sql, Azure Data Factory, Apache Spark, Scikit Learn, Information Technology, Xgboost, Splunk, Unsupervised Learning, Databricks - **Published:** July 22, 2026 - **Apply:** https://dejobs.org/x/x/11977556DBA5453B9533A7E8D8B8B7AF/job/ ## About the Role * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. * 3+ years of experience in data science, fraud analytics, security analytics, risk analytics, or a related discipline. * Strong proficiency with: * Python * SQL * Statistical Analysis * Machine Learning * Databricks or similar analytics platforms * Experience working with large, complex datasets. * Strong problem-solving and analytical skills. * Ability to communicate complex findings to diverse audiences., * Master's degree in a quantitative discipline. * Experience in fraud detection, cybersecurity, investigations, digital identity, or risk management. * Experience with: * XGBoost * Scikit-Learn * Spark * Azure Data Services * Splunk * Graph Analytics * Knowledge of anomaly detection methodologies. * Experience supporting investigative or intelligence functions. ## Description Pearson Professional Assessments is seeking an experienced Data Scientist to help advance our data forensics, fraud detection, and exam security analytics capabilities. This role will focus on identifying emerging threats, developing predictive models, and generating actionable intelligence that protects the integrity of high-stakes testing programs worldwide. The ideal candidate is passionate about solving complex analytical challenges, leveraging machine learning techniques, and transforming large datasets into meaningful insights that drive operational and security outcomes., * Develop statistical and machine learning models to identify suspicious testing behavior, fraud patterns, and emerging threats. * Create and maintain risk scoring methodologies that support investigative prioritization. * Analyze candidate, test center, proctoring, identity verification, and operational datasets to identify anomalies and indicators of compromise. * Perform exploratory data analysis to uncover hidden trends and relationships. Investigative Analytics * Support complex investigations involving exam misconduct, proxy testing, collusion, content theft, account compromise, and other security concerns. * Develop repeatable analytical methodologies that improve investigative effectiveness and consistency. * Identify behavioral patterns and indicators associated with fraudulent activity. Machine Learning & Predictive Modeling * Design, develop, validate, and deploy predictive and anomaly detection models. * Continuously monitor and improve model performance. * Utilize supervised and unsupervised learning techniques to detect previously unknown threats. * Partner with technical teams to operationalize analytical solutions. Intelligence & Threat Analysis * Collaborate with security, integrity, and operational teams to identify emerging risk trends. * Research new fraud tactics and evolving threat vectors. * Translate analytical findings into actionable intelligence and business recommendations. Reporting & Visualization * Develop dashboards, visualizations, and executive reporting to communicate insights. * Present analytical findings to technical and non-technical stakeholders. * Support strategic decision-making through data-driven recommendations. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany)