由买买提看人间百态

boards

本页内容为未名空间相应帖子的节选和存档,一周内的贴子最多显示50字,超过一周显示500字 访问原贴
Statistics版 - [内推]data scientist/machine learing
相关主题
position in educational research at SF downtown求 Predictive Modeling Using Logistic Regression Course Notes - SAS
Data Modeling / Scoring Analysis Manager银行的risk modeling 工作机会求建议
请教一下response model和look-alike model的不同招 Senior modeling analyst and modeling analyst 1 in San An (转载)
求助:如何准备这个面试线性回归中log tranformation
问个modeling data size的问题multiconliearity and non-linear relationship
想问下Item Response Model的问题y = a + b * (c ^ x)
[招人]Quantitative Modeler (转载)[sas] 怎么用自定义format里的值来计算?
[合集] MULTIVARIATE PROBIT/LOGIT USING SAS PROCEDURE求助:为什么box-cox transformed 后的varibale 不normal
相关话题的讨论汇总
话题: data话题: models话题: work话题: learning话题: modeling
进入Statistics版参与讨论
1 (共1页)
j******y
发帖数: 2578
1
有兴趣的可以站内联系我(可以附上简历,如果可以的话),我帮忙推荐。谢谢!
Data Scientist
Engineering | CA, United States
PERFORMANCE PROFILE:
As a Data Scientist, you will use your math wizardry to develop radically
new methods for data access, manipulation, and modeling that will enable us
to provide fair, transparent credit alternatives to underbanked Americans.
Successful candidates will be crazy smart, creative thinkers who are capable
of devising innovative solutions to old financial problems. They will
interface directly between our engineering and modeling teams to validate
our current models and develop tools to make the core modeling team more
efficient. As our name implies, we work with a great deal of enthusiasm and
energy along with a social conscience and passion for leveraging data and
technology to transform financial services as we know it.
RESPONSIBILITIES:
Design and implement statistical tools for developing and validating new
models
Validate models for roll-out and analyze the performance of existing models
Assess the usefulness of new data sources, transformations, and techniques
Support other team members with their modeling and analysis projects
Work with the Product Management, Marketing, and Business teams to develop
models to support specific business needs
Feel good about coming to work and enjoy not only the time you spend at the
office, but the people you’re spending it with as well
REQUIREMENTS:
Bachelor’s degree in Math, Computer Science, Statistics, Biostatistics, or
related discipline; Advanced degrees preferred
Extensive use of R Matlab, or Python, and Linux
Understanding of statistical analysis, algorithm development, and advanced
machine learning techniques
Commitment to creating reproducible, well-documented code
An independent and self-motivated work ethic
A proven, demonstrable track record of success
Machine Learning Modeler
Engineering | CA, United States
PERFORMANCE PROFILE:
As a Machine Learning Modeler, you will use your math wizardry to develop
radically new methods for data access, manipulation, and modeling that will
enable us to provide fair, transparent credit alternatives to underbanked
Americans. As our name implies, we work with a great deal of enthusiasm and
energy along with a social conscience and passion for leveraging data and
technology to transform financial services as we know it.
RESPONSIBILITIES:
Design and implement new models for predicting various outcomes
Select and evaluate data elements and transformations
Work with Product Management, Marketing, and Business to develop models to
support specific business needs
Lead and mentor more junior team members and perform as a subject matter
expert in your field of expertise
Feel good about coming to work and enjoy not only the time you spend at the
office, but the people you’re spending it with as well
REQUIREMENTS:
Bachelor’s Degree in Math, Computer Science, or related discipline;
advanced degrees preferred
5+ years of experience designing, developing, and implementing large-scale
machine learning or mathematical models
A proven, demonstrable track record of success
Extensive programming experience in one or more of the following: Matlab, R,
S, SAS, and an interest in learning new languages and technologies
Knowledge of data structures, algorithms and complexity analysis
Experience with large scale data storage and analysis (e.g., Hadoop,
MapReduce)
1 (共1页)
进入Statistics版参与讨论
相关主题
求助:为什么box-cox transformed 后的varibale 不normal问个modeling data size的问题
How to transform predictor variable?想问下Item Response Model的问题
请问各位能人一个data transformation的问题[招人]Quantitative Modeler (转载)
a question on transformation[合集] MULTIVARIATE PROBIT/LOGIT USING SAS PROCEDURE
position in educational research at SF downtown求 Predictive Modeling Using Logistic Regression Course Notes - SAS
Data Modeling / Scoring Analysis Manager银行的risk modeling 工作机会求建议
请教一下response model和look-alike model的不同招 Senior modeling analyst and modeling analyst 1 in San An (转载)
求助:如何准备这个面试线性回归中log tranformation
相关话题的讨论汇总
话题: data话题: models话题: work话题: learning话题: modeling