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DataSciences版 - NY Lead Data Scientist, Finance Credit
相关主题
如何用python读取大数据有没有谁自己买服务器组建几个clusters跑hadoop大数据的?
借版面问个machine learning的问题data scientist position
lending club的notes 数据做credit risk scorecard的朋友们, 请进来, 有问题求教 (转载)
有关clustering[Data Science Project Case] Parsing URLS
问个问题:一堆(1M)二维座标系的点,每个点有weight,怎么做clustering?DS需要会的手艺 真不少
Science杂志一篇关于clustering的新文章 (转载)求职要求clearance
凑热闹转发一篇自己写的博文,轻拍[Data Science Project Case] Topic Learning
我有大概80000~100000个左右的时间序列,希望对他们进行分类。Data scientist / Machine Learning Engineer 相关面试题 (转载)
相关话题的讨论汇总
话题: data话题: credit话题: experience话题: scorecards话题: modeling
进入DataSciences版参与讨论
1 (共1页)
t*****9
发帖数: 33
1
印度人顾问公司,但好处是当lead data science第一人,和入职后直接跟大银行做 (
like GS,JPM,MS),
project已谈好。现在就要人,有兴趣的朋友可以试试。MS/PhD 加四年经验。
-Need for a data scientist in NYC to build some scorecards for a lending
business
-The person should have knowledge of consumer lending, credit bureaus and
predictive modeling.
-Developing data-drives decision to build consumer credit origination/
underwriting scorecards.
· Work with the teams to build the credit scoring, pricing, and risk
scorecards
· Implement and test data-mining projects on our large data repositories.
· Develop and test regressions, clustering, and classifiers in order to
zero in on statistically-significant conclusions.
· Design and implement machine-learning classifiers
· Design and implement time-efficient optimization algorithms to increase
accuracy and throughput.
· Collaborate with other teams in developing production Python code.
· Make presentations on key findings to management
·
Basic Qualifications
– Advanced degree (PhD or Master’s) in quantitative disciplines like
Mathematics, Statistics, Engineering or computer science
– Hands-on experience with multivariate analysis, statistical models, time
series analysis, clustering in financial services or related industry
– Prior modeling experience in credit risk, marketing response modeling and
forecasting required
– Machine learning knowledge including neural networks, support vector
machines, random forest highly desired
– Strong familiarity on dealing with large data sets in a Big Data
environment
– Experience with one or more of the industry standard modeling tools (SAS,
R, Python)
– Ability to explain complex statistical models and analysis to drive
business ideas
– Strong project management skills and a track record building or leading
decision science function
– Experience working in a start-up business or a new business line within a
larger organization
1 (共1页)
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相关主题
Data scientist / Machine Learning Engineer 相关面试题 (转载)问个问题:一堆(1M)二维座标系的点,每个点有weight,怎么做clustering?
random forest 有没有可能保证某几个变量一直被选上Science杂志一篇关于clustering的新文章 (转载)
一个面试题(predictive model) (转载)凑热闹转发一篇自己写的博文,轻拍
data science 面试求教我有大概80000~100000个左右的时间序列,希望对他们进行分类。
如何用python读取大数据有没有谁自己买服务器组建几个clusters跑hadoop大数据的?
借版面问个machine learning的问题data scientist position
lending club的notes 数据做credit risk scorecard的朋友们, 请进来, 有问题求教 (转载)
有关clustering[Data Science Project Case] Parsing URLS
相关话题的讨论汇总
话题: data话题: credit话题: experience话题: scorecards话题: modeling