Ascend Learning
Sr Data Scientist
🇺🇸
Remote - US
🕑
Full-Time
💰
TBD
💻
Data Science
🗓️
July 7th, 2026
NoSQL
Python
SQL
Edtech.com's Summary
Ascend Learning is hiring a Senior Data Scientist. The role involves designing and implementing statistical and machine learning models to detect test security threats and provide actionable insights. The candidate will build predictive models, develop dashboards, and collaborate cross-functionally to protect the integrity of assessments across the company's healthcare and educational products.
Highlights
- Design and implement threat detection and behavioral analysis models to identify fraudulent test-taking activities.
- Build and maintain predictive and classification models using techniques like logistic regression, clustering, random forest, and NLP.
- Prepare and present analytical findings and security briefings to senior leadership.
- Write complex SQL queries using Snowflake and SQL Server, including stored procedures and views.
- Develop and maintain Tableau dashboards to surface security metrics and trends.
- Collaborate with Psychometricians, Data Engineering, IT security, and remote proctoring vendors.
- Bachelor's degree required; Master's degree preferred in quantitative fields such as Data Science or Statistics.
- Minimum 5 years of experience in data analysis or data science with increasing technical responsibilities.
- Proficiency in SQL, Python, R, and Snowflake ML for data analysis and model building.
- Experience in test security, fraud detection, behavioral analytics, and exposure to Medallion/EDW architectures.
Sr Data Scientist Full Description
Sr Data Scientist
Category: Data & BI Analytics
Req ID: 1222
Date: Jul 7, 2026
Location: Leawood, KS, US, 66211 Remote, US
We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America’s 2025 Greatest Workplaces as well as America’s Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
WHAT YOU'LL DO
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.
WHAT YOU'LL NEED
- 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
BENEFITS
- Flexible and generous paid time off
- Competitive medical, dental, vision and life insurance
- 401(k) employer matching program
- Parental leave
- Wellness resources
- Charitable matching program
- On-site workout facilities (Leawood, Gilbert, Burlington)
- Community outreach groups
- Tuition reimbursement
Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.
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