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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Build Proof-of-Concept data science models utilizing K-C's Microsoft cloud stack: acquire, cleanse, and harmonize data, analyze, and identify appropriate modeling techniques, build models that are interpretable, explainable, and sustainable at scale and meets the business needs.
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Serve as a climate science subject matter expert, performing meteorological and climate data analysis, including regional climate profiling guiding teams on the use of climate data and tools for assessing natural hazard risk.
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Experience with broad business problem-solving using advanced analytics (Data Science, Machine Learning, Artificial Intelligence). Serve as the primary contact for execution and collaboration across teams business, strategy, consulting, IT, data science.
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3+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi 3+ years of experience prepping structured and unstructured data for data science models.
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Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.
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8+ years’ progressive business experiences in marketing analytics, database marketing, data engineering and predictive modeling. Bachelor’s degree required in one of the following fields: Physics, Mathematics, Computer Science, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Finance, and/or Applied Mathematics.
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Act as Data Science Subject Matter Expert (SME) in the delivery and development of machine learning and AI products. Working as a leader within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex data science and engineering projects.
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The creative application of artificial intelligence, machine learning and stored information to improve pattern recognition, genetic analysis and deep phenotyping of health data is anchored by our commitment to responsible, ethical and open science.
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Vail Systems is looking for a summer intern who is currently enrolled in a PhD program in Computer Science, Data Science, Mathematics, Human Computer Interaction, Natural Language Processing, Computational Linguistics or a related field to work with us on some of the challenges in natural language processing (NLP.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Controller's data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Position Requirements:EducationAdvanced clinical/science degree or health care professional credentials required (MD, PhD, RPh, PharmD, NP, PA, MS or equivalent), Doctorate preferred.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
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data science jobs Company: Microsoft in Chicago, GA, France
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