Description
The Research & Development department for Thomson Reuters (http://labs.thomsonreuters.
Do you want to use your passion for technology to help build the knowledge economy? Are you interested in challenging and cutting edge technology projects? As a Research Scientist, you will be responsible for conducting applied research in information retrieval or machine learning applied to search, and staying current on state-of-the-art methods. You will be expected to design, implement and validate algorithms and ideas on large scale real world problems specific to Thomson Reuters. You will have an opportunity to collaborate with technologists and business stakeholders on the transition of your research to products. In addition, you will be able to maintain an active academic presence through publication and conference attendance.
This position requires significant expertise in the areas of information retrieval, recommender systems or applied machine learning. You are very familiar with IR models (language models, vector space, Bayesian nets) and tools (Lucene, Indri, Terrier, stemming) as well as learning to rank approaches. You have experience with feature engineering to solve search problems and enjoy digging into query logs. You are looking to apply your skills to conceive and implement creative solutions to real-world problems. You support your ideas with data and strong experimental design.
Working closely with product and development groups, your ideas will have a direct impact of Thomson Reuters’ products.
We are the leading source of intelligent information for the world's businesses and professionals, providing customers with competitive advantage. Intelligent information is a unique synthesis of human intelligence, industry expertise and innovative technology that provides decision-makers with the knowledge to act, enabling them to make better decisions faster. We deliver this must-have insight to the financial and risk, legal, tax and accounting, intellectual property and science and media markets, powered by the world's most trusted news organization.
Qualifications
Required Qualifications:
Master’s Degree in computer science, computational linguistics, applied mathematics or a related discipline, plus 3 years of relevant industry research experience.
Background in Information Retrieval, Recommender Systems or applied Machine Learning
Solid programming skills (e.g. in Python, Perl, Java, C/C++)
Good oral and written communication skills, and the ability to provide technical leadership
Preferred Qualification:
PhD degree in computer science, computational linguistics, applied mathematics or a related discipline. Industry research experience is a plus.
Excellent research track record in information retrieval, usage analytics, or recommender systems. Additional experience in a related field such as machine learning, document classification, matrix and graph algorithms, natural language processing or text mining is a plus.
Strong working knowledge of statistical data analysis and experiment design using R, WEKA, Matlab, etc.
Experience in hands-on processing, representation and transformation of large amount
Position and compensation commensurate with experience.
Our New York city location is a possibility for the right candidate.
At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With over 60,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
Intrigued by a challenge as large and fascinating as the world itself? Come join us.
To learn more about what we offer, please visit careers.thomsonreuters.com or the sites below:
https://toc.taleo.net/
https://toc.taleo.net/
More information about Thomson Reuters can be found on thomsonreuters.com.
The Research & Development department for Thomson Reuters (http://labs.thomsonreuters.
Do you want to use your passion for technology to help build the knowledge economy? Are you interested in challenging and cutting edge technology projects? As a Research Scientist, you will be responsible for conducting applied research in information retrieval or machine learning applied to search, and staying current on state-of-the-art methods. You will be expected to design, implement and validate algorithms and ideas on large scale real world problems specific to Thomson Reuters. You will have an opportunity to collaborate with technologists and business stakeholders on the transition of your research to products. In addition, you will be able to maintain an active academic presence through publication and conference attendance.
This position requires significant expertise in the areas of information retrieval, recommender systems or applied machine learning. You are very familiar with IR models (language models, vector space, Bayesian nets) and tools (Lucene, Indri, Terrier, stemming) as well as learning to rank approaches. You have experience with feature engineering to solve search problems and enjoy digging into query logs. You are looking to apply your skills to conceive and implement creative solutions to real-world problems. You support your ideas with data and strong experimental design.
Working closely with product and development groups, your ideas will have a direct impact of Thomson Reuters’ products.
We are the leading source of intelligent information for the world's businesses and professionals, providing customers with competitive advantage. Intelligent information is a unique synthesis of human intelligence, industry expertise and innovative technology that provides decision-makers with the knowledge to act, enabling them to make better decisions faster. We deliver this must-have insight to the financial and risk, legal, tax and accounting, intellectual property and science and media markets, powered by the world's most trusted news organization.
Qualifications
Required Qualifications:
Master’s Degree in computer science, computational linguistics, applied mathematics or a related discipline, plus 3 years of relevant industry research experience.
Background in Information Retrieval, Recommender Systems or applied Machine Learning
Solid programming skills (e.g. in Python, Perl, Java, C/C++)
Good oral and written communication skills, and the ability to provide technical leadership
Preferred Qualification:
PhD degree in computer science, computational linguistics, applied mathematics or a related discipline. Industry research experience is a plus.
Excellent research track record in information retrieval, usage analytics, or recommender systems. Additional experience in a related field such as machine learning, document classification, matrix and graph algorithms, natural language processing or text mining is a plus.
Strong working knowledge of statistical data analysis and experiment design using R, WEKA, Matlab, etc.
Experience in hands-on processing, representation and transformation of large amount
Position and compensation commensurate with experience.
Our New York city location is a possibility for the right candidate.
At Thomson Reuters, we believe what we do matters. We are passionate about our work, inspired by the impact it has on our business and our customers. As a team, we believe in winning as one - collaborating to reach shared goals, and developing through challenging and meaningful experiences. With over 60,000 employees in more than 100 countries, we work flexibly across boundaries and realize innovations that help shape industries around the world. Making this happen is a dynamic, evolving process, and we count on each employee to be a catalyst in driving our performance - and their own.
As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under country or local law. Thomson Reuters is proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.
Intrigued by a challenge as large and fascinating as the world itself? Come join us.
To learn more about what we offer, please visit careers.thomsonreuters.com or the sites below:
https://toc.taleo.net/
https://toc.taleo.net/
More information about Thomson Reuters can be found on thomsonreuters.com.
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