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Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow.
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Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT) Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
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Experience with building and training machine learning models using tools like TensorFlow, Keras, or PyTorch. Understanding of containerization technologies like Docker for packaging machine learning models and deploying them in production.
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Ability to design and implement end-to-end machine learning pipelines for data ingestion, processing, modeling, and deployment. Knowledge of data preprocessing, feature engineering, and model evaluation techniques in machine learning projects.
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Expert level of Advanced and Predictive Analytical Methods e.g., Simulation, Design of Experiments, Genetic Algorithms, Ensemble Methods, Nave Bayes, Neural Networks, regression, image processing, natural language processing.
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2+ years of experience in Automotive, Transportation, Digital Business, or Analytics Consulting. Promote and facilitate learning and development needs of team. Collaborate with business customers to understand business challenges and develop strategies for solving them using AI/ML and advanced analytics.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. A true one-stop shop, offering a full portfolio of electrified and internal combustion vehicles designed to integrate seamlessly with the Ford Pro ecosystem, helping customers' businesses thrive today and into the new era of electrification.
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Walmart Connect is seeking an experienced data science leader to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, optimization, segmentation.
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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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Master's degree (or higher) (or foreign education equivalent) in Engineering, Statistics, Data Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models. Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques.
$55,300 - $99,600 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bms.com/working-with-us]( Position Summary: Biologics Process Analytics team at Bristol-Myers Squibb is seeking a candidate for a project to develop Machine Learning predictive models to accelerate method readiness for new modalities in process analytics.
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Data Modeling Power BI Developer Predictive Modeling Pyspark Python/Machine Learning SAS/SQL Programming. Experienced in building dashboards for model end use using Microsoft Power BI.Experienced in building machine learning models using the above programming languages or other relevant languagesUnderstanding of distributed systems and query optimization using pyspark.
$55 - $60 an hourExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$118,000 - $178,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Key analytics priorities include optimization of Customer Portfolio Management, Policy Experience improvement, Claims/Underwriting predictive analytics, Fraud detection, and seller performance optimization (focusing on sales activation.
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