数据科学家 / 学生项目导师
Data Scientist / Student Project Mentor
职位描述
关于我们：
拥有二十多年经验，Fortray在IT招聘、培训和服务领域表现出色。作为IT招聘人员，我们连接顶尖人才与数字技术领域的全球机会，提供跨行业、职位、薪资和地点的合同、临时和永久职位安排。我们的专业团队确保您的招聘或求职过程受益于对您所在领域有深入了解的资深专家。Fortray还是一家全球在线训练营，帮助职业转型者在短短四周内获得关键的数字技能，开启有利可图的技术职业生涯。
我们严谨的课程涵盖网络安全、云计算、数据分析、编程、项目管理、DevOps、AI/ML等。实践性学习和行业专家的指导使就业率达到95%。每月超过1000场直播课程、实际项目和丰富资源，使Fortray脱颖而出。我们的导师计划、灵活的时间安排和一对一职业辅导将引导您走向成功。加入1000多名满意毕业生，通过Fortray踏上技术职业生涯。
此外，作为托管服务提供商（MSP），我们提供全球托管IT服务，包括网络安全、云解决方案和IT咨询，针对各种规模的企业，强调以用户为中心，从咨询到持续支持，确保无缝的技术运营。
职位目的 – 概述
职位名称：数据科学家 / 学生导师
工作地点：完全远程
必须具备2至3小时的备用时间，22至24英寸显示器及HDMI线，桌子、椅子和安静的工作环境。
工作时间：
• 周一至周五：英国夏令时上午9点至下午6点
• 周六：英国夏令时上午10点至下午3点
职位简介
主要职责：
• 指导学生进行数据科学、机器学习和分析项目。
• 提供项目规划、数据收集、清洗、分析和模型开发方面的专业建议。
• 审阅并提供对代码、报告、演示和可视化内容的反馈。
• 协助学生根据项目目标选择合适的方法、工具和框架。
• 定期进行一对一或小组会议，解决疑问并提供方向。
• 跟踪数据科学领域的学术和行业趋势，并将相关实践融入指导中。
• 记录项目支持活动和学生进展
分析大型复杂数据集以提取可操作的见解。
• 构建、评估和
查看英文原文
Job Description
About Us:
With over two decades of expertise, Fortray excels in IT Recruitment, Training, and Services. As IT Recruiters, we connect top talent with global opportunities in the digital technology sector, offering contract, temporary, and permanent placements across various industries, roles, salaries, and locations. Our specialized teams ensure your recruitment or job search benefits from seasoned experts who deeply understand your sector. Fortray is also a global online boot camp, helping career changers gain vital digital skills in just four weeks, opening doors to lucrative tech careers.
Our rigorous curriculum covers cybersecurity, Cloud computing, Data analytics, Coding, Project Management, DevOps, AI/ML, and more. Practical, hands-on learning and mentorship from industry experts result in a remarkable 95% placement rate. With over 1,000 monthly live classes, real-world projects, and extensive resources, Fortray stands out. Our mentorship program, flexible schedules, and 1:1 career coaching guide your success. Join 1,000+ satisfied graduates on their journey to tech careers through Fortray.
Additionally, as a Managed Service Provider (MSP), we offer global managed IT services, including cybersecurity, cloud solutions, and IT consultancy, tailored to businesses of all sizes, emphasizing user centricity from consultation to ongoing support, ensuring seamless technology operations.
Purpose of the Job – Overview
Job Title: Data Scientist / Student Mentor
Location: Fully Remote
Must have a 2 to 3 Hours Backup, 22 to 24” Monitor with HDMI Cable, Table, Chair and Quite place to
work.
Timings:
• Monday to Friday: 9 AM to 6 PM BST
• Saturday: 10 AM to 3 PM BST
About the Role
Key Responsibilities:
• Mentor and guide students on their data science, machine learning, and analytics projects.
• Provide expert advice on project planning, data collection, cleaning, analysis, and model development.
• Review and provide feedback on code, reports, presentations, and visualizations.
• Assist students in choosing appropriate methodologies, tools, and frameworks based on project goals.
• Conduct regular one-on-one or group sessions to resolve doubts and provide direction.
• Stay up-to-date with academic and industry trends in data science and integrate relevant practices into mentorship.
• Maintain documentation of project support activities and student progress
Analyze large and complex datasets to extract actionable insights.
• Build, evaluate, and deploy machine learning models for classification, regression, clustering, and recommendation systems.
• Develop and maintain data pipelines and automated reporting systems.
• Collaborate with stakeholders to define problems, design experiments, and interpret results.
• Communicate findings and recommendations through data visualizations, dashboards, and presentations.
Requirements:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
• Proven experience with Python, R, SQL, and relevant data science libraries
• Experience with data visualization tools such as Tableau, Power BI
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques.
• Excellent communication and interpersonal skills, with a passion for teaching and mentoring.
• Prior experience in academic support, tutoring, or educational content creation is a plus.
Originally posted on Himalayas