Job Description:
We currently have an opportunity for a talented Data Scientist – Machine Learning to help take our business to the next level. You‘ll play a key role in the definition, design, and development of the Technorati Advertising and Data platform, which currently services hundreds of millions of requests per day.
Design, implement and optimize algorithms for performance and revenue in a in highly distributed environment- a variety of advanced massively scalable technologies such as multi-threaded distributed systems, big data pipelines, machine learning, predictive algorithms and more.
Work with large (terabytes of data, billions of daily transactions) structured and unstructured data sets.
Work closely and iterate quickly with product teams throughout the organization
Desired Qualifications:
PhD or Masters in Computer Science, Statistics, Applied Math, Physics, Engineering or other quantitative field.
Thorough knowledge and experience in supervised and unsupervised learning methods such as SVMs, linear classifiers, Bayesian networks and clustering techniques.
Possesses strong combination of theoretical knowledge and hands-on experience in statistical techniques, regression analysis and machine learning algorithms Familiarity with reinforcement learning methods.
Expertise in time series analysis of high dimensional data and familiarity with dimensionality reduction techniques
Highly motivated with the ability to work on a multitude of projects on an ongoing basis
Team player with an entrepreneurial spirit and strong communication and collaboration skills
Experience in at least one compiled language (Java or C++ preferred).
Familiar with scripting and command-line operations
Bonus Points:
Experience analyzing internet scale datasets (billions of rows, thousands of columns)
Experience in natural language processing techniques and text analytics is a plus.
Experience with MPP databases or Map Reduce (Hadoop).
Experience in high-performance computing.
Digital media or web retail experience.
About Us:
Our mission at Technorati is to use technology and real time market insights to optimize digital advertising interactions for high quality publishers of all sizes. To deliver on our mission, we employ dedicated people who are technology driven, strive for innovation, work collaboratively, take responsibility but also take time to have fun. If you would like to be part a part of our exceptional team, building the next generation of advertising technology, then we’d love to hear from you.
Benefits for YOU Include:
Choice of medical plans, with the base medical plan 100% employer paid for the employee/85% paid for dependents.
Dental, Vision, Life, AD&D insurance, STD, LTD
401(k) plan
Pre-tax Commuter benefit; Health and Dependent Care Spending Accounts
Time off: 15 days annual PTO accrual to start, 11 major holidays
Career growth and personal development
Fun: Monthly employee events (such as baseball games, kayaking and bowling); snacks and beverages in the kitchen; free catered monthly lunches; impromptu happy hours, etc.
For more information and to apply, visit www.technorati.com/careers
Additional Info:
[Click Here to Access the Original Job Post]
We currently have an opportunity for a talented Data Scientist – Machine Learning to help take our business to the next level. You‘ll play a key role in the definition, design, and development of the Technorati Advertising and Data platform, which currently services hundreds of millions of requests per day.
Design, implement and optimize algorithms for performance and revenue in a in highly distributed environment- a variety of advanced massively scalable technologies such as multi-threaded distributed systems, big data pipelines, machine learning, predictive algorithms and more.
Work with large (terabytes of data, billions of daily transactions) structured and unstructured data sets.
Work closely and iterate quickly with product teams throughout the organization
Desired Qualifications:
PhD or Masters in Computer Science, Statistics, Applied Math, Physics, Engineering or other quantitative field.
Thorough knowledge and experience in supervised and unsupervised learning methods such as SVMs, linear classifiers, Bayesian networks and clustering techniques.
Possesses strong combination of theoretical knowledge and hands-on experience in statistical techniques, regression analysis and machine learning algorithms Familiarity with reinforcement learning methods.
Expertise in time series analysis of high dimensional data and familiarity with dimensionality reduction techniques
Highly motivated with the ability to work on a multitude of projects on an ongoing basis
Team player with an entrepreneurial spirit and strong communication and collaboration skills
Experience in at least one compiled language (Java or C++ preferred).
Familiar with scripting and command-line operations
Bonus Points:
Experience analyzing internet scale datasets (billions of rows, thousands of columns)
Experience in natural language processing techniques and text analytics is a plus.
Experience with MPP databases or Map Reduce (Hadoop).
Experience in high-performance computing.
Digital media or web retail experience.
About Us:
Our mission at Technorati is to use technology and real time market insights to optimize digital advertising interactions for high quality publishers of all sizes. To deliver on our mission, we employ dedicated people who are technology driven, strive for innovation, work collaboratively, take responsibility but also take time to have fun. If you would like to be part a part of our exceptional team, building the next generation of advertising technology, then we’d love to hear from you.
Benefits for YOU Include:
Choice of medical plans, with the base medical plan 100% employer paid for the employee/85% paid for dependents.
Dental, Vision, Life, AD&D insurance, STD, LTD
401(k) plan
Pre-tax Commuter benefit; Health and Dependent Care Spending Accounts
Time off: 15 days annual PTO accrual to start, 11 major holidays
Career growth and personal development
Fun: Monthly employee events (such as baseball games, kayaking and bowling); snacks and beverages in the kitchen; free catered monthly lunches; impromptu happy hours, etc.
For more information and to apply, visit www.technorati.com/careers
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]