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Thomson Reuters Labs in Toronto, Minneapolis or Carrollton is seeking scientists with a passion for solving problems using state-of-the-art Information Retrieval, Natural Language Processing and Machine Learning.
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Develop technical standards, best practices, and methodologies for data science, machine learning, and artificial intelligence projects. Stay up-to-date with the latest trends and developments in data science, machine learning, and artificial intelligence.
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Familiar with current and emerging techniques in analytics (machine learning, deep learning, AI) + Strong programming experience with R and/or Python for statistical modeling and other machine learning applications.
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Whether you join our Statistics, Optimization, or Machine Learning teams, you'll be challenged to harness Target's impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Growth Potential: Developing a strong foundation in data analytics paves the way for career growth into advanced roles such as data scientist, machine learning engineer, or data engineer.
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We’ll also promote innovative thinking as well as the opportunity to use cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems! Conduct research to advance the state-of-the-art machine learning and NLP technologies.
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LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters caf networking. Sr Applied Scientist, NLP page is loaded.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Unsupervised machine learning, clustering, ensemble methods, etc.) Machine Learning: Build predictive models; propose solutions and strategies for business problems; apply the appropriate machine learning algorithm to data problems (e.g. supervised vs.
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Whether you join our Statistics, Optimization, or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely.
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Advanced knowledge in 2-3 of the following: Regression, Classification, Machine Vision, Natural Language Processing, Deep Learning and Statistical modeling. Travelers Data Scientists are taking the organization to the next level of intelligence by using advanced statistical techniques and machine learning algorithms.
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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3+ years in an analytics role with hands-on experience developing predictive models using machine learning techniques and conducting statistical analyses. Able to independently build enterprise grade Machine Learning models.
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Proficiency in Python, R, and/or MATLAB.Well versed in statistics and theoretical foundations of Machine Learning. Ability to independently analyze and interpret complex data sets for the development of novel AI powered solutionKnowledge and experience in developing machine learning and/or deep learning models using time-series data.
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Research latest machine learning technologies and keep up with industry best practices in Data Science. Intermediate -> Advanced knowledge of statistical modeling techniques and machine learning algorithms.
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