Advanced Specialist, AI Scientist

Pearson VUE

AI Scientist developing and supporting Pearson’s machine learning assessments and automated scoring solutions. Collaborating with teams to ensure high-quality delivery and innovation in educational technologies.

Posted 7/15/2026full-timeRemote • Iowa • 🇺🇸 United StatesJuniorMid-Level💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in training, evaluating, and deploying machine learning models, with a strong foundation in Python and Linux. Possesses a solid understanding of machine learning principles and a passion for agile software processes and data-driven development.

Highest-signal resume keywords

Machine Learning Model DeploymentPython ProficiencyAgile Software ProcessesData-Driven DevelopmentStrong Verbal and Written Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning PrinciplesModel Performance EvaluationCode Maintenance and ImprovementStatistical AnalysisVersion ControlObject-Oriented ProgrammingFunctional ProgrammingDatabase Access PatternsAPI Access PatternsTesting

Soft Skills

Interpersonal SkillsTeam-Oriented ApproachCuriosity and Learning MindsetEffective CommunicationProject Management

Tools & Technologies

LinuxNLP TechnologiesAutomated Scoring Systems

Industry Keywords

Quantitative FieldData SciencePsychometricsEducational AssessmentFormative and Summative Testing

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Train, evaluate, and deploy machine learning models tasked with scoring short answer and essay student responses to formative and summative test administrations from school districts nationwide
Monitor performance of deployed machine learning models to ensure consistent, fair, and unbiased scoring in real time and recalibrate deployed models as needed
Maintain, update, and improve code base used to train and deploy machine learning models
Evaluate historical model performance and conduct experiments exploring strategies to potentially improve team modeling techniques and approaches
Research and stay up-to-date on emerging technologies in the NLP space
Be a thought leader in automated scoring by attending and presenting at conferences

Requirements

What you’ll need

Bachelor’s degree in a quantitative field (CS, EE, statistics, math, data science)
2+ years professional experience as a software engineer, data scientist, psychometrician, machine learning engineer
Solid understanding of machine learning principles and current/emerging technologies
Strong coding & analytics skills including proficiency in Python and Linux commands
Understanding of or experience with deploying machine learning models into production environments
Familiarity with software engineering fundamentals (version control, object-oriented and functional programming, database and API access patterns, testing)
Passionate about agile software processes, data-driven development, reliability, and systematic experimentation
Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities
Curious and always learning habits of mind
Strong team-oriented approach to work, with excellent interpersonal and communication skills, both oral and written
Ability to work effectively as a member of a team in a collaborative environment
Demonstrated ability to manage multiple tasks and projects simultaneously

Benefits

Comp & perks

eligible to participate in an annual incentive program