工作机会 data scientist@experian datalab, San Diego (转载) - 未名空间MITBBS历史存档

工作机会 data scientist@experian datalab, San Diego (转载)# DataSciences - 数据科学

q*w2015-04-23 07:04

1 楼

悟空终于来了，相信大家都很期待！那么这个龙珠里的最大“boss”是不是能给我们带
来更精彩的战斗呢？答案绝对是肯定的。我们可爱、纯真又那么热爱战斗的悟空，一定
会给我们带来不一样的视觉体验，恩，是这样的......小伙伴来一起期待悟空的后续表
现吧！
https://www.youtube.com/watch?v=GogkKIkOx6k

s*y2015-04-23 07:04

2 楼

【以下文字转载自 JobHunting 讨论区】
发信人: strongboy (strongboy), 信区: JobHunting
标题: 工作机会 data [email protected] datalab, San Diego
发信站: BBS 未名空间站 (Thu Apr 23 20:44:31 2015, 美东)
我们主要做predictive modeling，整个datalab发展的很好，组里气氛也很好，很多强
人，大多数是phd, 待遇在sd很不错，最好是local或者距离近一些(LA) 的candidates
，或者如果你很强想到San
Diego来的同学也可以看下。可以站内给我发信，请简单介绍自己，我会给你我的邮箱
，不错的简历我会forward给manager。我不是hr，所
以不太好把邮箱直接留在这，请见谅。
理工科的phd都可以申请，具体专业没有限制，需要你熟悉machine learning和统计，
人聪明，编程好，数学好。很强的master也可以考虑申请。
Scientist - Predictive Modeling at Experian North America R&D Data Lab
Experian DataLabs is a R&D unit at Experian formed with the desire to work
in collaboration with Experian’s business units to enhance relationships
with clients and acquire strategic datasets. Experian® is a global
leader in providing information, analytical tools and marketing services to
organizations and consumers to help manage the risk and reward of commercial
and financial decisions. Using our comprehensive understanding of
individuals, markets and economies, we help organizations find, develop and
manage customer relationships to make their businesses more profitable.
Position Summary:
The person filling this position will be part of Experian North America R&D
Data Lab concentrating on research and development of novel analytical
solutions, new product prototyping, as well as new data asset evaluation and
acquisition. This position requires extensive background and knowledge in
machine learning and data mining. Previous experience in analyzing large
datasets and developing data driven statistical models is desirable.
Experience in text mining and online marketing is a plus.
The candidate will need to be able to work on multiple concurrent projects,
anticipate obstacles, and make high quality deliveries on an aggressive
schedule. The candidate must also be a team player that is self-motivated
and has excellent communication skills.
Key job functions include:
• Analyzing, processing, evaluating and documenting large data sets
• Identify/develop appropriate machine learning/data mining/text
mining techniques to uncover the value of the data • Designing data
structure and data storage schemes for efficient data manipulation and
information retrieval
• Developing tools for data processing and information retrieval
• Developing data driven models to quantify the value of a given data
set
• Applying, modifying and inventing algorithms to solve challenging
business problems
• Validating score performance
• Conducting ROI and benefit analysis
• Documenting and presenting model process and model performance
Requirements:
• Advanced degree in Machine Learning, Computer Science, Electrical
Engineering, Physics, Statistics, Applied Math or other quantitative fields
• 0-3 years of working experience in analytics, data mining, and/or
predictive modeling
• Demonstrated ability to lead and execute projects from start to
finish
• Ability to independently support existing products
• Proven track record in modifying and applying advanced algorithms to
address practical problems • Experience with regression, Neural
Network, SVM, and/or ensemble methods
• Proven ability to work independently on development of complex
models with extremely large and complex data structures • Proficient
in more than one of Python, R, Java, C++, or C
• Robust knowledge and experience with statistical methods
• Plusses:
o Extensive knowledge of MATLAB and SQL
o Experience with Hadoop and NoSQL related technologies such as Map Reduce,
Spark, Hive, Pig, HBase, mongoDB,
Cassandra, etc.
o Experience with online, mobile marketing analytics
o Experience with GPU programming
o Knowledge of NLP/Text mining techniques and related open source tools
o Solid knowledge of Bayesian statistical inference and related machine
learning methods. o Experience with Agile methods for software development