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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Machine learning expert with 12 years experience working across a range of domains from finance, ad tech and search, with research driving over 500 academic citations. data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains.
$200 - $250 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models.
$205,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing. Experience in building large-scale machine-learning infrastructure for online recommendation, ads relevance and/or ranking, personalization, search, or similar area.
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Apply data mining, data modeling, natural language processing and machine learning to extract and analyze information from large structured and unstructured datasets. Experience with search and reporting tools such as Apache Spark, Jasper, Pentaho or similar.
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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 algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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RELATED JOB OPENINGS: Senior Machine Learning Engineer / Data Scientist Senior Software Engineer - Data Engineering Machine Learning Engineer / Data Scientist Software Engineer - Data Engineering.
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Domain expertise: programming languages, data analytics, machine learning (ML/AI), DevSecOps, Cloud, Big Data. Demonstrate expert-level knowledge/experience in Big data and Cloud technologies: Spark ML, Splunk, Elastic Search, Apache NiFi, AWS Glue, Cribl.io Logstream, and Hadoop.
$110,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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In this role, you will be building ultra large scale batch & streaming datasets to support analytics, experimentation and machine learning and helping to drive our self-serve strategy for reporting on-behalf of data scientists and product engineers as we collectively make product better.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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You have experience in backend engineering, data infrastructure, search infrastructure or natural language processing/machine learning. You'll improve search latency and relevancy using large scale data systems and machine learning.
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If you have industry experience developing production software for machine learning, especially in areas like recommendation engines, natural language processing, and deep learning for text data, we'd love to talk to you.
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You should have strong programming skills and professional experience in one or more: AI and Machine Learning, Natural Language Processing, Data Science, Deep Learning. Experience with one or more data toolchains such as Amazon SageMaker, Apache Kafka, Elastic Search, Spark, EMR, Kinesis, Glue, Redshift, etc.
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