Data Scientist II

ACT

. Design, prototype, and evaluate models generating personalized college, career, and pathway recommendations .

Posted 10/9/2026contractRemote • United StatesMid-LevelSenior💰 $95,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and data pipeline development to create personalized educational recommendations. Proficient in translating complex data insights into actionable strategies while ensuring model fairness and compliance with responsible AI practices.

Highest-signal resume keywords

Statistical ModelingMachine LearningData Pipeline DevelopmentPython ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningExperimental DesignModel EvaluationData AnalysisData Collection StrategiesBehavioral Data AnalysisGenerative AINatural Language ProcessingRecommender Systems

Soft Skills

Cross-Functional CommunicationCollaboration

Tools & Technologies

Cloud EnvironmentsData Pipelines

Certifications & Qualifications

ACT National Career Readiness Certificate

Industry Keywords

Education DataCareer DataLabor-Market DataBias MitigationResponsible AI

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Design, prototype, and evaluate models generating personalized college, career, and pathway recommendations
Apply statistical modeling, machine learning, and generative AI to test and improve product capabilities
Evaluate model performance, fairness, bias, and appropriate use
Design data collection strategies capturing student behavior, performance, and engagement
Analyze pilot and user-study data and translate findings into product recommendations
Define metrics and experiments evaluating recommendation quality and product impact
Partner with engineers to build scalable cloud-based data pipelines
Move models from prototype into production
Integrate student, education, assessment, skills, career, and labor-market data sources
Establish processes for data security, model documentation, deployment, monitoring, and maintenance
Develop recommendations that remain useful with incomplete student data and adapt as information changes
Use behavioral and performance data to support personalized and adaptive product experiences
Make model outputs understandable and actionable for stakeholders
Collaborate across product, engineering, research, design, and business teams
Translate research and business needs into data collection plans and technical solutions
Communicate analytical findings, assumptions, risks, and tradeoffs to technical and nontechnical stakeholders

Requirements

What you’ll need

Bachelor’s degree in data science, computer science, statistics, applied mathematics, economics, operations research, or a related quantitative discipline, or equivalent combination of education and experience
At least 3 years of applied data science experience, including building statistical or machine-learning models and analyzing product experiments, pilots, or user studies
Proficiency in Python and SQL
Experience developing scalable data pipelines
Experience moving data products or models from prototype toward production
Strong statistical modeling, machine learning, experimental design, and model evaluation skills
Experience with scalable data pipelines, cloud environments, and integrating complex data sources
Experience using behavioral and performance data to develop personalized product experiences
Knowledge of responsible AI, including fairness, bias mitigation, transparency, privacy, and appropriate use
Effective cross-functional communication skills
Applicants must be authorized to work in the U.S. without the need for visa sponsorship
Master’s degree in data science or related field is preferred
Experience with recommender systems, generative AI, natural language processing, or personalized and adaptive systems is preferred
Experience with education, assessment, career, workforce, labor-market, occupational, or skills data is preferred
Completion of the ACT National Career Readiness Certificate is recommended
Finalists must pass a criminal background check as a condition of employment

Benefits

Comp & perks

Company paid life insurance
Medical insurance
Dental insurance
Vision insurance
Flexible health and dependent spending accounts
401(k) retirement savings with company match
Paid holidays
Paid time off
Opportunity for extension or conversion to a fulltime position
Inclusive and equitable workplace
Opportunities for team member growth and development