同求 AF coupon# Fashion - 美丽时尚
j*y
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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)
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)