Data Scientist II

🕒 October 7

🇺🇸 United States – Remote

💵 $95k - $105k / year

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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ACT

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1959

📚 Education

🏢 Enterprise

🤝 Non-profit

💰 $30k Grant on 2022-01

Education • Enterprise • Non-profit

ACT is a leading organization focused on education and assessment, providing a range of testing and educational services designed to aid students and educators. Known primarily for its college admissions test, the ACT offers resources and tools that help students navigate their educational and career journeys. The organization also supports K-12 educators, higher education institutions, and workforce readiness initiatives, emphasizing fairness and accessibility in education.

📋 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 for student behavior, performance, and engagement • Analyze pilot and user-study data and translate findings into product recommendations • Define metrics and experiments to evaluate recommendation quality and product impact • Partner with engineers to build scalable cloud-based data pipelines and move models 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 becomes available • 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, business, and other 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 an equivalent combination of education and experience from which comparable knowledge and abilities can be acquired • 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 and 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 • Master’s degree in data science or related field (preferred) • Experience with recommender systems, generative AI, natural language processing, or personalized and adaptive systems (preferred) • Experience with education, assessment, career, workforce, labor-market, occupational, or skills data (preferred) • Authorized to work in the U.S. without visa sponsorship • Finalists subject to a criminal background check • Completion of the ACT National Career Readiness Certificate recommended

🏖️ 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 • Diverse and inclusive workplace • Opportunities for team-member growth and development

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