Manhattan WMOS Engineer
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Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
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ACT is a nonprofit education organization best known for administering the ACT college admissions test. Its work also spans K–12 and workforce assessments, test preparation, and online tools for college and career planning. ACT supports paper and computer-based testing, accommodations, and score reporting, and provides research and resources for educators and institutions. The organization’s services connect students, schools, and employers with assessment and planning tools for education and career pathways.
Remote Data Scientist II at ACT
Build personalized college, career, and pathway recommendations at ACT. Develop fair, explainable models and production data pipelines to help students navigate their options.
संयुक्त राज्य$95,000 – $1,05,000 / वर्ष
रिमोटअनुबंधमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा वैज्ञानिकविवरण
- Create and assess models for personalized college, career, and pathway recommendations
- Use statistical methods, machine learning, and generative AI to test and improve products
- Assess model performance, fairness, bias, and appropriate use
- Plan data collection to capture student behavior, performance, and engagement
- Interpret pilot and user-study results and turn findings into product guidance
- Set metrics and design experiments to assess recommendation quality and product impact
- Work with engineers on scalable, cloud-based data pipelines
- Advance models from prototypes into production
- Combine student, education, assessment, skills, career, and labor-market data
- Set up practices for data security, model documentation, deployment, monitoring, and maintenance
- Create recommendations that work with incomplete student data and adjust as information changes
- Use behavioral and performance data to power personalized, adaptive product experiences
- Present model outputs so stakeholders can understand and act on them
- Work with colleagues in product, engineering, research, design, and business
- Turn research and business needs into data collection plans and technical solutions
- Explain analytical findings, assumptions, risks, and tradeoffs to technical and nontechnical audiences
आवश्यकताएँ
- Bachelor’s degree in data science, computer science, statistics, applied mathematics, economics, operations research, or a related quantitative field, or an equivalent combination of education and experience
- At least three 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 building scalable data pipelines
- Experience taking data products or models from prototype toward production
- Strong skills in statistical modeling, machine learning, experimental design, and model evaluation
- Experience with scalable data pipelines, cloud environments, and integrating complex data sources
- Experience using behavioral and performance data to create personalized product experiences
- Knowledge of responsible AI, including fairness, bias mitigation, transparency, privacy, and appropriate use
- Strong cross-functional communication skills
- Authorization to work in the United States without visa sponsorship
- A master’s degree in data science or a 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
लाभ
- Company-paid life insurance
- Medical insurance
- Dental insurance
- Vision insurance
- Flexible health and dependent care spending accounts
- 401(k) retirement savings plan with company match
- Paid holidays
- Paid time off
- Potential to extend the contract or convert to a full-time role
- Inclusive and equitable workplace
- Opportunities for team member growth and development
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