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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus.
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The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs.
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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.
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Data science, machine learning, optimization models, Master’s degree 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)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of technical leadership in the field of data science or machine learning. Director, AI Data Scientist / Machine Learning Engineer. You will be a significant contributor to our efforts to develop, validate, and implement cutting-edge machine learning algorithms, including the use of Large Language Models (LLM), applied to diverse healthcare data sources (e.g. electronic medical records.
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The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine.
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The GCP Data Solution Architect (SA) is a pre-sales professional, responsible for solution development in support of Data Modernization and Artificial Intelligence engagements leveraging Google Cloud in collaboration with TEKsystems sales partners.
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Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, Statistics, Machine Learning, or Mathematics.
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The ideal candidate will have expertise in cloud technologies, particularly Google BigQuery, dbt, and Looker along with working experience in onPrem systems such as Teradata, SAP, OR HANA. Communicates analytical findings, including through reports, briefings, presentations, and data visualization.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Advanced degree (Ph. D. preferred) in a field like Applied Linguistics, Computational Linguistics, or Data Science, with a focus on building and deploying machine learning models for text analysis.
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10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.
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machine learning google cloud data science jobs Title: data scientist Company: Dtn
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