数据科学
Data Science
AI开发工程限定地区（需当地身份）
公司GamaLearn
薪资未公开
工作地点United States
地域资格限定地区（需当地身份）
时区要求日间重叠约 9 小时，基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
注意地域限制：该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
Category: Technology
Location:
- 开发和实现数据科学模型，以提升学习、评估和培训平台。
- 进行数据分析、统计分析和预测建模，以识别教育数据中的趋势和模式。
- 开发机器学习模型，包括逻辑回归、随机森林和聚类算法，专门用于教育目的。
- 使用项目反应理论和Rasch模型等心理测量方法，提高评估数据质量。
- 使用Power BI和Tableau创建数据可视化和仪表板，供教育相关方使用。
- 与跨职能团队（包括教育工作者和研究人员）合作，了解需求并提供洞察。
- 优化ETL流程，用于教育数据集的数据集成和预处理。
- 通过数据驱动的方法，支持自适应学习系统和个性化学习体验的开发。
- 实现和使用Graph API和OData端点，集成和分析来自不同来源的数据。
- 与大型语言模型（LLMs）和检索增强生成（RAG）技术合作，提升教育工具并提供个性化学习体验。
- 利用向量数据库高效存储和检索高维数据。
Requirements
- 商业管理（大数据分析）、经济学、统计学或相关领域的学士学位。
- 3-5年数据科学经验，重点在预测分析和机器学习。
- 精通Python、SQL、SAS和高级Excel。
- 有使用Power BI和Tableau等BI工具的经验。
- 对心理测量模型和高级统计方法有深刻理解。
- 有实施Graph API和使用OData端点的经验。
- 有大型语言模型（LLMs）、检索增强生成（RAG）和向量数据库的经验。
- 优秀的解决问题能力，能够向非技术人员解释复杂的概念。
- 有通过数据驱动策略改善教育成果的实证记录。
- 在统计分析方面有扎实背景，包括探索性数据分析和推断统计。
Preferences:
- 拥有Power BI或类似BI工具的认证者优先。
- 有教育数据分析和资源分配优化经验者优先。
- 熟悉自然语言处理（NLP）技术和情感分析者优先。
- 强大的分析能力
查看英文原文
Category: Technology
Location:
- Develop and implement data science models to enhance learning, assessment, and training platforms.
- Conduct data analysis, statistical analysis, and predictive modeling to identify trends and patterns in educational data.
- Develop machine learning models including logistic regression, random forest, and clustering algorithms tailored for educational purposes.
- Use psychometric methods like Item Response Theory and Rasch Models to improve assessment data quality.
- Create data visualizations and dashboards using Power BI and Tableau for educational stakeholders.
- Work with cross-functional teams, including educators and researchers, to understand requirements and deliver insights.
- Optimize ETL processes for data integration and preprocessing specific to educational datasets.
- Support the development of adaptive learning systems and personalized learning experiences through data-driven approaches.
- Implement and utilize Graph API and OData endpoints to integrate and analyze data from various sources.
- Work with large language models (LLMs) and retrieval-augmented generation (RAG) techniques to enhance educational tools and provide personalized learning experiences.
- Leverage vector databases to store and retrieve high-dimensional data efficiently.
Requirements
- Bachelor's degree in Business Administration (Big Data Analytics), Economics, Statistics, or a related field.
- 3-5 years of experience in data science, with a strong focus on predictive analytics and machine learning.
- Proficiency in Python, SQL, SAS, and advanced Excel.
- Experience with BI tools like Power BI and Tableau.
- Strong understanding of psychometric models and advanced statistical methods.
- Proven experience in implementing Graph API and working with OData endpoints.
- Experience with large language models (LLMs), retrieval-augmented generation (RAG), and vector databases.
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.
- Proven track record of improving educational outcomes through data-driven strategies.
- Strong background in statistical analysis, including exploratory data analysis and inferential statistics.
Preferences:
- Certification in Power BI or similar BI tools.
- Experience in educational data analysis and resource allocation optimization.
- Knowledge of NLP techniques and sentiment analysis is a plus.
- Strong analytical skills and attention to detail.
- Ability to work in a collaborative team environment and manage multiple projects simultaneously.
DetailsOriginally posted on Himalayas
本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。
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