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In this role, the Staff Data Scientist will work closely with cross-functional teams to design, deploy, and improve scalable machine learning models for edge devices. 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.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proven experience as a Data Scientist with a focus on machine learning modeling. Strong proficiency in Databricks for building and deploying machine learning models.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years of experience in data science and advanced analytics, including expertise in predictive modeling, machine learning, and statistical analysis. Support the integration of machine learning algorithms and statistical models into the data processing pipeline, enhancing the analytics capabilities of the DataMart.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Preferred Qualifications Proficient with at least one of the following packages: SAS, STATA, R, or PythonAbility to demonstrate expertise in multiple regression modeling and multilevel modelingStrong preference will be given to candidates with experience with network analysis, machine learning and natural language processing.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Real world experience as an ML engineer or data scientist role building and deploying ML models or developing deep learning models, with experience in at least 3 of the 5 key machine learning algorithms: Ridge Regression and Lasso, random forests, linear optimization models, sensitivity analysis, and boosting model.
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Strong knowledge of statistical techniques and machine learning algorithms for predictive modeling, including regression, classification, clustering, and time series analysis. Model Development: Develop predictive models using advanced statistical techniques and machine learning algorithms to forecast future trends, behaviors, and outcomes.
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Key WordsCredit Risk, Originations, Underwriting, Loss Forecasting, Python, Data Science, Machine Learning, Statistical Learning, Applied Artificial IntelligenceThe base pay range represents the anticipated low and high end of the pay range for this position.
$113,000 - $150,000Full-timeExpandUpdated 7 days ago - UpvoteDownvoteShare Job
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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Demonstrated knowledge or experience with Machine Learning, Data Science, and Data Engineering principles and related technologies such as R, Python, SQL etc. Rigorous understanding of statistics/machine learning and ability to discern appropriate analytics techniques to problem-solve.
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We are looking for a Senior Machine Learning Data Scientist to work within the Womens Health team to develop and commercialize novel new machine learning models and algorithms.
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Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers. Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Knowledgeable with MPP databases such as Snowflakes SnowparkHave/had hands-on experience with Python, Java or Scala and the ability to write reusable and efficient code to automate machine learning pipeline and data processes.
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Serves as leader, advisor, and mentor on highly complex data science, machine learning, artificial intelligence, or optimization programs. Serves as a subject matter expert on data science, machine learning, artificial intelligence, or optimization techniques, methodologies, and tools.
ExpandApply NowActive JobUpdated 5 days ago
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