美瞳，眼线，假睫毛~~~~好可爱！！！！# pets - 心有所宠
s*n
1 楼
我们组最近扩张，年内要招5个人。主要是做machine learning和data mining，具体的
要求请看下面。因为最近来了好几个很强的candidate，现在感觉基本要PhD，要有拿得
出手的modeling evidence，然后prefer local candidate (San Diego)。如果感兴趣
的可以给我投条。
==============================Job Description===============================
===
The chosen candidate will be part of a talented team designing, developing,
and deploying state-of-the-art, data-driven predictive models to solve
business problems using the latest technologies in neural networks, machine
learning, statistical modeling, pattern recognition, and artificial
intelligence.
Main responsibilities include: analyzing and understanding large amounts of
historical data to determine suitability for modeling, data clean-up and
filtering, pattern identification and feature extraction, feature (variable)
selection, experimenting with different types of algorithms and modeling
techniques, analyzing performance, preparing model reports for communication
with internal and external clients, participating in pre-sales, and
providing post implementation support.
You will be part of a technical project team focused on key analytic
deliverables and analytic innovation projects. Candidate should be
comfortable working both independently and directing small technical working
groups.
Main Responsibilities include:
*Data analysis: Perform data clean-up and basic statistical analyses and
develop an in-depth understanding of large datasets; modify and use various
techniques for filtering, pattern identification, feature extraction, and
variable selection.
*Algorithms and modeling techniques: Experiment with different types of
algorithms and modeling techniques; develop prototypes of promising methods
and conduct performance studies; create commercial-quality implementations
of algorithms and techniques for use in analysis and production.
*Client interactions: Prepare model reports for communication with internal
and external clients; participate in pre-sales meetings and calls; and
provide post-implementation product support.
Experience/Qualifications : Minimum Experience/qualifications:
Requires a Master's of Science Degree or a Ph.D. degree in a science,
engineering, mathematics,Statistics, computer science field with experience
in predictive modeling and data mining.
Payment Card or Retail Banking industry experience is perferred. Industry
and academic experience will include employing neural networks, machine
learning, mathematical/statistical modeling, pattern recognition, or data
mining/data analysis on real world problems. Extensive experience with Unix
and at least one major programming language such as C or Java.
The successful candidate will have a strong background in at least two of
the following areas:
*Software skills: Strong UNIX background and experience in Perl, C, C++, or
Java. Experience with team-based development environment. Familiarity with
basic software design principles and coding standards and best practices;
ability and interest to acquire further expertise in this area and lead
efforts to develop this practice.
*Large dataset analysis: Experience with analysis of large datasets. Strong
skills in scripting languages such as Perl; knowledge of data-cleaning
techniques and their uses on large datasets. Experience in performing
statistical analyses leading to the understanding of the structure of the
data.
*Probability/statistics/machine learning: Good working knowledge of several
of the following: Bayesian networks, PCA, independent component analysis,
linear and logistic regressions, inference, estimation, experimental design,
neural networks, SVM.
*Ability to make key analytic design decisions independently and being open
to a team approach to iterative design.
要求请看下面。因为最近来了好几个很强的candidate，现在感觉基本要PhD，要有拿得
出手的modeling evidence，然后prefer local candidate (San Diego)。如果感兴趣
的可以给我投条。
==============================Job Description===============================
===
The chosen candidate will be part of a talented team designing, developing,
and deploying state-of-the-art, data-driven predictive models to solve
business problems using the latest technologies in neural networks, machine
learning, statistical modeling, pattern recognition, and artificial
intelligence.
Main responsibilities include: analyzing and understanding large amounts of
historical data to determine suitability for modeling, data clean-up and
filtering, pattern identification and feature extraction, feature (variable)
selection, experimenting with different types of algorithms and modeling
techniques, analyzing performance, preparing model reports for communication
with internal and external clients, participating in pre-sales, and
providing post implementation support.
You will be part of a technical project team focused on key analytic
deliverables and analytic innovation projects. Candidate should be
comfortable working both independently and directing small technical working
groups.
Main Responsibilities include:
*Data analysis: Perform data clean-up and basic statistical analyses and
develop an in-depth understanding of large datasets; modify and use various
techniques for filtering, pattern identification, feature extraction, and
variable selection.
*Algorithms and modeling techniques: Experiment with different types of
algorithms and modeling techniques; develop prototypes of promising methods
and conduct performance studies; create commercial-quality implementations
of algorithms and techniques for use in analysis and production.
*Client interactions: Prepare model reports for communication with internal
and external clients; participate in pre-sales meetings and calls; and
provide post-implementation product support.
Experience/Qualifications : Minimum Experience/qualifications:
Requires a Master's of Science Degree or a Ph.D. degree in a science,
engineering, mathematics,Statistics, computer science field with experience
in predictive modeling and data mining.
Payment Card or Retail Banking industry experience is perferred. Industry
and academic experience will include employing neural networks, machine
learning, mathematical/statistical modeling, pattern recognition, or data
mining/data analysis on real world problems. Extensive experience with Unix
and at least one major programming language such as C or Java.
The successful candidate will have a strong background in at least two of
the following areas:
*Software skills: Strong UNIX background and experience in Perl, C, C++, or
Java. Experience with team-based development environment. Familiarity with
basic software design principles and coding standards and best practices;
ability and interest to acquire further expertise in this area and lead
efforts to develop this practice.
*Large dataset analysis: Experience with analysis of large datasets. Strong
skills in scripting languages such as Perl; knowledge of data-cleaning
techniques and their uses on large datasets. Experience in performing
statistical analyses leading to the understanding of the structure of the
data.
*Probability/statistics/machine learning: Good working knowledge of several
of the following: Bayesian networks, PCA, independent component analysis,
linear and logistic regressions, inference, estimation, experimental design,
neural networks, SVM.
*Ability to make key analytic design decisions independently and being open
to a team approach to iterative design.
