ITmPowered, LLC
Data Analyst - NLP Data Science
ITmPowered, LLC, Ontario, California, United States, 91764
Data Analyst - ML NLP Data Scientist - Building the Future
Have you ever wanted to work on state-of-the-art natural language processing and applied machine learning that will make a real impact? We are looking for brilliant Machine Learning Data Analyst, Data Scientists, and Applied Statistics Analysts with strong experience in Python and R who have the passion to tackle tough problems by bringing cutting edge ML technologies! As a Machine Learning Data Analyst and Data Scientists you will so much more than just NLP solution development. You will develop algorithms, predictive models and analytics to solve critical health service problems, reduce patient mortality, Improve patient flow forecasting, and quality of care.
Partner with business executives and provide recommendations to leadership on appropriate application of analytics to business strategies and effectively communicate implications to senior leadership.Identify problems, develop recommendations, influence key stakeholders to adopt, drive it to execution.Develop and apply algorithms and models to key business metrics to improve operations.Create data pipelines, data models, using Python, R, SAS Text Miner, and KNIME.Use confidence intervals and significance of error measurements to develop and evaluate data sets.Design and develop data models, logical/physical database designs, big data pipelines and ML algorithms.Leverage and expand your experience in NLP, ML, AI algorithms and methods for information extraction, topic modeling, parsing, and relationship extractionUse your knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embeddingUtilize text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.Experience in producing, processing, evaluating and utilizing training dataProvide data architectural leadership in developing enterprise data/process models, and logical/physical database designs. Provide data and database development, maintenance, support.Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the businessPresents findings, analysis, and recommendations to business executives for decision making.Design distributed and scalable systems. Test and document the software you develop.Perform research, analysis, and modeling on organizational dataBuilds technical knowledge to support research and analytic responsibilities including neural networks, speech recognition and natural language processingEnsures that the delivered NLP Analytics products meet the business needs of the companyRequirements:
Bachelors Degree in Applied Statistics, Math, Econometrics or similar. (or 4 additional years experience).4+ years' as a Data scientist and/or Sr. Data Analyst with strong use of Python and R.3-6 years experience in text mining or NLP modeling and applications, using large amounts of text data, and extracting insights quickly - using SAS Text Miner and KNIME.Knowledge of various machine learning techniques and key parameters that affect their performanceUnderstanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation of data sets, etcNLP experience highly preferred; Knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embedding. Experience with NLP methods for information extraction, topic modeling, parsing, and relationship extraction. Understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.Experience in Python, and R as well as SAS Text Miner and KNIME.Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand.Logistics:
Local resources only. On site only. No remote.NO sub- NO sponsorship available.
Have you ever wanted to work on state-of-the-art natural language processing and applied machine learning that will make a real impact? We are looking for brilliant Machine Learning Data Analyst, Data Scientists, and Applied Statistics Analysts with strong experience in Python and R who have the passion to tackle tough problems by bringing cutting edge ML technologies! As a Machine Learning Data Analyst and Data Scientists you will so much more than just NLP solution development. You will develop algorithms, predictive models and analytics to solve critical health service problems, reduce patient mortality, Improve patient flow forecasting, and quality of care.
Partner with business executives and provide recommendations to leadership on appropriate application of analytics to business strategies and effectively communicate implications to senior leadership.Identify problems, develop recommendations, influence key stakeholders to adopt, drive it to execution.Develop and apply algorithms and models to key business metrics to improve operations.Create data pipelines, data models, using Python, R, SAS Text Miner, and KNIME.Use confidence intervals and significance of error measurements to develop and evaluate data sets.Design and develop data models, logical/physical database designs, big data pipelines and ML algorithms.Leverage and expand your experience in NLP, ML, AI algorithms and methods for information extraction, topic modeling, parsing, and relationship extractionUse your knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embeddingUtilize text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.Experience in producing, processing, evaluating and utilizing training dataProvide data architectural leadership in developing enterprise data/process models, and logical/physical database designs. Provide data and database development, maintenance, support.Conducts research projects, incorporate project design, data collection and analysis, summarizing findings, developing recommendations and effectively communicating to leadership the impact to the businessPresents findings, analysis, and recommendations to business executives for decision making.Design distributed and scalable systems. Test and document the software you develop.Perform research, analysis, and modeling on organizational dataBuilds technical knowledge to support research and analytic responsibilities including neural networks, speech recognition and natural language processingEnsures that the delivered NLP Analytics products meet the business needs of the companyRequirements:
Bachelors Degree in Applied Statistics, Math, Econometrics or similar. (or 4 additional years experience).4+ years' as a Data scientist and/or Sr. Data Analyst with strong use of Python and R.3-6 years experience in text mining or NLP modeling and applications, using large amounts of text data, and extracting insights quickly - using SAS Text Miner and KNIME.Knowledge of various machine learning techniques and key parameters that affect their performanceUnderstanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation of data sets, etcNLP experience highly preferred; Knowledge of NLP concepts like TFIDF, N-gram Modeling, Stemming and Lemmatization, Entity Extraction, Sentiment Analysis, Document Classification, Topic Modeling, Natural Language Understanding (NLU), Natural Language Generation (NLG) and word embedding. Experience with NLP methods for information extraction, topic modeling, parsing, and relationship extraction. Understanding of text pre-processing and normalization techniques, such as tokenization, POS tagging, and parsing.Experience in Python, and R as well as SAS Text Miner and KNIME.Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand.Logistics:
Local resources only. On site only. No remote.NO sub- NO sponsorship available.