hiring: Econometrician/Data Scientist# DataSciences - 数据科学
a*a
1 楼
我们两个都在美国，是回国办，还是在这里办呢？
刚开始考虑这个，也不知道需要考虑哪些个方面来决定在哪里办。
刚开始考虑这个，也不知道需要考虑哪些个方面来决定在哪里办。
x*3
2 楼
Hi I'm a HM at American Express based on Phoenix. I have an Econometrician/
Data Scientist position on my team need an immediate fill. If you are
interested, please send your resume to [email protected]
/* */
More details see below. thanks,
+++++++++++++++++++++++
Job Requisition # 13009824
Overview of the Department:
American Express is aggressively digitizing our business with significant
investment along every dimension in this space.
As part of this intensive effort, our Integrated Marketing Solutions
organization (IMS) has exciting opportunities available within our digital
analytics team for digitally savvy econometricians or statisticians with
strong background in digital technology and analytics trends and exceptional
quantitative and problem solving skills.
Job Responsibilities:
The team is responsible for developing, innovating and integrating digital
analytics into the American Express card business in international markets.
The open position of Manager is responsible for development of analytical
solutions to enhance business results and decision making in digital
marketing to acquire new cardmembers through our external acquisition
initiatives.
The list of responsibilities may include:
• Participate in design and development of analytical solutions to
support acquisition of cardmembers through digital channels for
international proprietary issuing markets and supporting network issuing
partners globally;
• Work with technologists and marketing business partners to develop
solutions that mine complex digital behavioral data and transform it into
actionable information;
• Utilize industry-proven or develop new, customized models,
algorithms, or computational methods to support business solutions;
• Perform ad-hoc exploratory statistical and data mining analytics;
• Present results of complex analytic projects to business, non-
technical audience.
Example work includes implementing behavioral targeting to acquire
profitable new cardmembers, developing a multi-touch attribution models for
our acquisition marketing, driving our real-time bidding strategy on digital
advertising platforms, information driven recommendations for optimization
of display media budgets.
Skills/Qualifications:
The ideal candidate should demonstrate creativity, curiosity and passion for
dealing with large amounts of data and converting it into valuable,
actionable information using analytical techniques.
• MS or P.h.D. in Data Mining, Machine Learning, Statistics,
Econometrics, Mathematics, Operations Research, Engineering or related
fields.
• 2+ years experience of applying data mining techniques to business
problems is a plus.
• Strong working knowledge of data mining techniques, including
regression analysis, clustering, decision trees, neural networks, SVM (
support vector machines); also preferred is familiarity with
recommendation systems such as collaborative filtering, k-nearest neighbors,
association rules, market basket analysis, SVD (singular value
decomposition), matrix factorization methods.
• Creativity to go beyond current tools to deliver the best solution
to the problem, ability and comfort with working independently and making
key decisions on projects.
• Excellent interpersonal, written, and verbal communication skills.
• Prior experience working on digital data and knowledge of the
digital ecosystem is a plus.
• SQL experience strongly preferred.
Data Scientist position on my team need an immediate fill. If you are
interested, please send your resume to [email protected]
/* */
More details see below. thanks,
+++++++++++++++++++++++
Job Requisition # 13009824
Overview of the Department:
American Express is aggressively digitizing our business with significant
investment along every dimension in this space.
As part of this intensive effort, our Integrated Marketing Solutions
organization (IMS) has exciting opportunities available within our digital
analytics team for digitally savvy econometricians or statisticians with
strong background in digital technology and analytics trends and exceptional
quantitative and problem solving skills.
Job Responsibilities:
The team is responsible for developing, innovating and integrating digital
analytics into the American Express card business in international markets.
The open position of Manager is responsible for development of analytical
solutions to enhance business results and decision making in digital
marketing to acquire new cardmembers through our external acquisition
initiatives.
The list of responsibilities may include:
• Participate in design and development of analytical solutions to
support acquisition of cardmembers through digital channels for
international proprietary issuing markets and supporting network issuing
partners globally;
• Work with technologists and marketing business partners to develop
solutions that mine complex digital behavioral data and transform it into
actionable information;
• Utilize industry-proven or develop new, customized models,
algorithms, or computational methods to support business solutions;
• Perform ad-hoc exploratory statistical and data mining analytics;
• Present results of complex analytic projects to business, non-
technical audience.
Example work includes implementing behavioral targeting to acquire
profitable new cardmembers, developing a multi-touch attribution models for
our acquisition marketing, driving our real-time bidding strategy on digital
advertising platforms, information driven recommendations for optimization
of display media budgets.
Skills/Qualifications:
The ideal candidate should demonstrate creativity, curiosity and passion for
dealing with large amounts of data and converting it into valuable,
actionable information using analytical techniques.
• MS or P.h.D. in Data Mining, Machine Learning, Statistics,
Econometrics, Mathematics, Operations Research, Engineering or related
fields.
• 2+ years experience of applying data mining techniques to business
problems is a plus.
• Strong working knowledge of data mining techniques, including
regression analysis, clustering, decision trees, neural networks, SVM (
support vector machines); also preferred is familiarity with
recommendation systems such as collaborative filtering, k-nearest neighbors,
association rules, market basket analysis, SVD (singular value
decomposition), matrix factorization methods.
• Creativity to go beyond current tools to deliver the best solution
to the problem, ability and comfort with working independently and making
key decisions on projects.
• Excellent interpersonal, written, and verbal communication skills.
• Prior experience working on digital data and knowledge of the
digital ecosystem is a plus.
• SQL experience strongly preferred.
w*3
3 楼
在这办吧，简单，不劳神。
x*3
4 楼
forget to add: H1b sponsored. 1 year for green card.
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