80%的人都误解了:数据科学其实不只是一份职业,而是... ...

2019年02月25日 Infinity澳洲职业咨询



不知道大家有没有类似的情况,你一个学数据的,在别人问的时候说,我是学数据的,学得可好了,啥都能做。


你以为这样可以帮你带来好工作么?并不能!



有着丰富的数据科学经验的SharpestMinds联合创始人Jeremie Harris告诉你,千万不要成为一个数据科学通才!


数据科学涉及太多方面,以至于很难被一个人完全掌握。要知道,人才市场上已经满是所谓的通才,但其实他们很难再得到市场的青睐。


所以,对公司而言,与其雇一个什么都懂一点却不精通的人,不如雇佣那些专才。



那么,问题来了:如果你自己不清楚都有哪类常见问题需要你去深入研究,那你就很难避免流于平庸。


比起学习一个新的 Library 或者一个新的 Tool;或者比起准备一份无敌简历,我更希望大家先想清楚自己到底是干什么的数据科学家?


为了避免想要明明白白地活成一个专家,却偏偏活成一个千斤顶,今天我们就来说说被 Data Science 头衔遮盖的五个 Specialist 都是啥!



01

Data Engineer 


Job Description:

You’ll be managing data pipelines for companies that deal with large volumes of data. That means making sure that your data is being efficiently collected and retrieved from its source when needed, cleaned and preprocessed.


Requirements:

你将要使用的技术包括 Apache Spark、Hadoop、Hive & Kafka。SQL 的夯实基础也很重要的。


Regular Work:

→ “How do I build a pipeline that can handle 10000 requests per minute?”

→ “How can I clean this dataset without loading it all in RAM?”


02

Data Analyst


Job Description:

Your job will be to translate data into actionable business insights. You’ll often be the go-between for technical teams and business strategy, sales or marketing teams. Datavisualization is going to be a big part of your day-to-day.


Requirement:

你将使用的技术包括Python,SQL,Tableau 和 Excel。你还需要成为一个好的沟通者。


Regular Work:

→ “What’s driving our user growth numbers?”

→ “How can we explain to management that the recent increase in user fees is turning people away?”


03

Data Scientist


Job Description:

Your job will be to clean and explore datasets and make predictions that deliver business value. Your day-to-day will involve training and optimizing models, and often deploying them to production.


Requirements:

你将要使用的技术包括 Python, scikit-learn, Pandas, SQL,可能还有Flask,Spark 或者TensorFlow / PyTorch。有一些数据科学的职位纯粹是技术性的,但是大多数的都还是要求你有一些 business sense,这样你就不会最终花力气去解决毫无疑义的问题。


Regular Work:

→ “How many different user types do we really have?”

→ “Can we build a model to predict which products will sell to which users?”


04

Machine Learning Engineer 


Job Description:

Your job will be to build, optimize and deploy machine learning models to production. You’ll generally be treating machine learning models as APIs or components, which you’ll be plugging into a full-stack app or hardware of some kind, but you may also be called upon to design models yourself.


Requirements:

必要的技术包括Python, Javascript, scikit-learn,TensorFlow / PyTorch(and/or enterprise deep learning frameworks)和 SQL 或 MongoDB(通常用于app DB)。


Regular Work:

→ “How do I integrate this Keras model into our Javascript app?”

→ “How can I reduce the prediction time and prediction cost of our recommender system?”


05

Machine Learning Researcher


Job Description:

Your job will be to find new ways to solve challenging problems in data science and deep learning. You won’t be working with out-of-the-box solutions, but rather will be making your own.


Requirements:

你将要使用的技术包括Python,TensorFlow / PyTorch(和/或企业深度学习框架)和SQL。


Regular Work:

→ “How do I improve the accuracy of our model to something closer to the state of the art?”

→ “Would a custom optimizer help decrease training time?”



了解完最基本的数据相关岗位细分,还有更多问题?

2月27日,周三晚,Infinity将举办一场


Data Science Career Pathway Seminar


我们特别邀请了来自澳洲知名会计师事务所,荣获2018最佳会计师事务所和专业服务公司的HLB Mann Judd 的Partner Michael Gummery为大家从招聘官的角度深度解析:

  • 数据科学将如何改变整个会计和审计行业

  • 知名企业所青睐的毕业生应该拥有哪些方面的能力和优势?

  • 现场更会放出Infinity独家内推Graduate Program以及社招职位,100分工作机会不容错过!!!


关于这家公司到底有多棒

请各位童鞋直接右转到官网

https://www.hlb.com.au/


特邀嘉宾

Michael Gummery

Partner at HLB


Michael is an experienced Partner working across corporate advisory, audit and assurance. He is a registered company auditor with a sound knowledge and understanding of both the private and public sectors, with the ability to advise on a wide range of issues. He is also the former Audit Manager at EY. 



此外,我们还邀请了两位数据行业专家、资深导师作为演讲嘉宾,他们将带你探讨数据这个迷人又热门行业发展现状,深入讲解他们对Data Science的行业理解,Data Science入门方法,和职业发展路径


演讲嘉宾

Alex Ji

Senior Consultant - Lead Data Scientist,NAB


澳洲国立大学 Information Sciences and Engineering 博士,精通数学建模,大数据分析,和机器学习,拥有6年学术领域和5年行业领域工作经验,已成功辅导多名学员拿到数据分析相关职位的offer。



Coco Fu

Senior Consultant,KPMG


现任KPMG Senior Consultant,曾担任EY Data Analytics Consultant和Suncorp Pricing Analyst。拥有墨尔本大学精算师学士学位及Business Analytics硕士学位。在大数据分析,私募基金交易合规,和金融市场投资分析领域拥有丰富经验。



倒计时2天!

10年行业经验分享

3位重磅嘉宾

2小时职场专业剖析

Data Science干货不间断放送

与职场大牛面对面交流解决困惑的机会


适合人群


  • 想申请data analyst, business analyst, business intelligence等data science职位的在校生或毕业生


  • Computer science/IT/IS/Engineering专业,或有一定编程基础或计量学背景的求职者


  • 想进一步了解大数据发展趋势和应用领域,以及SQL,Python, R等数据分析软件,提高职场竞争力的职场人士




活动详情

时间:2019年2月27日 周三 6:30--8:30pm

地点:2nd Floor, 287 Collins St. Melbourne 3000

报名方式:扫描下方二维码,立即报名 


此外,Infinity全新升级


Data Science Bootcamp


增加SQL和Tableau软件教学和实操,商业真实案例讲解,Data Scientist资深导师坐镇,教你从入门到入职!


往期学员成功获得Infinity内推职位


扫码添加小编

了解课程详细信息


成功

案例


Infinity往届学员成功案例

收藏 已赞