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Experience in core data science and predictive analytics methods: Statistics (t-tests, Poisson process), Segmentation and clustering techniques, predictive modeling: e.g., regression, classification, Time Series analysis: e.g., ARIMA, Traditional machine learning methods: e.g., Random Forest, ensemble model techniques, Optimization: e.g. linear programming.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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8 years of experience in a predictive analytics or data analysis OR advanced degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 6 years of experience in predictive analytics or data analysis.
$158,960 - $286,130 a yearRemoteExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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O9 Solutions is looking for an experienced, talented, and motivated Lead Data Scientist to come join our global team in NA or EMEA. As part of this Data Science team, you will be involved in the end-to-end delivery of our supply chain planning products and building advanced forecasting models with Predictive Analytics, Machine Learning and AI with algorithms such as R, and Python.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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A successful candidate will bring a Master's in Computer Science, Mathematics, Statistics, Economics, Engineering, and 5+ years of experience in hands-on modeling in R or Python, in a supply chain forecasting capacity.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
$70 - $80 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases. Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Academic courses, projects, internships and/or work experience that includes some or all of the following: data extraction and cleaning, exploratory analysis, predictive modeling, machine learning, monitoring of algorithms, coding and data visualization.
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Experience with one or two of the following: MLOps, Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory, and databases. Collaborating with data scientists and engineers to understand their needs and help them develop, test, and deploy ML models, detect, and correct model drift in the data, enable pre-production testing, and ingest large volumes of structured and unstructured data for modeling.
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1 -2 years of industry experience, with work in a quant or data scientist field preferred. Experience with building and deploying predictive and prescriptive analytics models effectively.
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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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O Advanced enterprise planning, integrated business planning, scenario modeling, advanced predictive analytics. o Integration projects - experience moving from a legacy to any ERP system or consolidating legacy transaction systems into single (few) enabling technologies with focus on functional, process and/or data standardization.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Strong Data Engineering skills. Clean, preprocess, and transform raw data into a suitable format for machine learning models.
$150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Ph. D. in Computer Science or a related field of biological science, thesis work in bioinformatics and computational biology. Master's degree in Computer Science or a related field of biological science, and two (2) years related research experience in bioinformatics and computational biology.
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predictive modeling computer science jobs Title: data scientist senior Company: Cgi in Irving, TX
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