> Markdown version of [/jobs/ext/1224407-sr-data-scientist](https://www.wearedevelopers.com/jobs/ext/1224407-sr-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - **Company:** ASCENT SERVICES GROUP LLC - **Location:** Burlington, MA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Cluster Analysis, Cyber Security, Information Engineering, Data Integration, Data Warehousing, Database Development, Fraud Prevention and Detection, R (Programming Language), Intrusion Detection and Prevention, Python (Programming Language), Logistic Regression, Machine Learning, Microsoft SQL Server, Natural Language Processing, NoSQL, Query Optimization, SQL Stored Procedures, SQL Databases, Tableau (Software), Transact-SQL, Snowflake, Random Forest, Data Lakes, Information Technology, Machine Learning Operations - **Published:** July 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/kymxv1wlks ## About the Role * Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational Measurement, or a closely related quantitative field. Master's degree preferred in a quantitative discipline; familiarity with psychometric methods; experience with remote proctoring platforms; exposure to Medallion/EDW architectures in Snowflake; background in test security, fraud detection, or behavioral analytics at scale * 5+ years of experience in data analysis or data science with demonstrated progression in technical scope and complexity * Expert-level SQL across both Snowflake and SQL Server - stored procedures, query optimization, and complex multi-source joins * Proven experience building statistical models and applying machine learning techniques such as classification, clustering, and anomaly detection in a production or near-production context * Proficiency in Python, R, Snowflake ML for statistical analysis and model development * Experience building and publishing Tableau dashboards for operational and executive audiences * Demonstrated ability to communicate complex findings clearly and persuasively to non-technical stakeholders, including senior leadership * Strong business acumen with the ability to prioritize analytical work by impact and translate ambiguous questions into structured analytical frameworks * Proven experience working cross-functionally with engineering, product, and IT teams and engaging with vendor technologies ## Description As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the analytical engine behind Ascend Learning's test security function - building the models, reports, and intelligence that empower security analysts and Psychometricians across our portfolio of brands to protect the integrity of every assessment we deliver. You'll leverage a modern data stack (Snowflake, SQL Server, Tableau) and apply statistical modeling and machine learning to surface insights that drive decisions at the highest levels of the organization, working alongside a team of seasoned data professionals who bring deep expertise across the full data lifecycle. WHERE YOU'LL WORK * Remote within the United States How You'll Spend Your Time * Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection algorithms, and machine learning pipelines to identify suspicious test-taking patterns, proxy testing, impersonation, and item exposure across large-scale assessment datasets. * Advanced Modeling: Build and maintain predictive and classification models - including logistic regression, clustering, random forest, and NLP-based flagging - to surface security risks and prioritize investigation queues. * Executive Communication: Independently prepare and present findings, dashboards, and security briefings to senior leadership - translating complex analytical outputs into clear, actionable narratives. * Incident Reporting: Author detailed analytical reports supporting security investigations, including methodology documentation, evidence summaries, and recommended actions. * SQL Development: Write and maintain complex Snowflake SQL and T-SQL - stored procedures, views, and optimized queries - across Snowflake and SQL Server environments, integrating data from disparate sources including NoSQL, data lakes, APIs, and external data providers; contributing to EDW Gold layer development for exam security use cases. * Tableau Dashboards: Design, build, and maintain Tableau dashboards that surface key security metrics, incident trends, and performance indicators for both operational teams and senior leadership. * Cross-Functional Collaboration: Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to align on analytical requirements, data quality standards, and the technology landscape - ensuring security data is accurate, timely, and fit for analysis. * Requirements Translation: Convert ambiguous needs from Test Security, IT, Legal, and Operations into well-defined analytical requirements and data specifications, maintaining clear documentation of models and methodologies throughout. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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)