Data Scientist II

Job Description:

• 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:

• 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:

• 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