Data Scientist II

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 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

🤝 Non-profit

💰 $30k Grant - ACT on 2022-01

Education • Non-profit

ACT is a nonprofit organization that administers the ACT college admissions test and provides K–12 and workforce assessments, test prep, college- and career-planning resources, and related online services. It offers paper and computer-based testing, accommodations, score reporting, research for educators and institutions, and tools aimed at helping students prepare for college and career success.

📋 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