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Experience in Data science, machine learning, or optimization models. You have experience with GitHub and with one or more ML cloud compute solutions: AWS SageMaker, Microsoft Azure, Google Cloud, Kubeflow, Databricks, etc.
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Experience using cloud-based services and resources (e.g., AWS, Azure, Google cloud) and distributed data and computing tools: Snowflake, Data Bricks, Spark, Map/Reduce, Hadoop, Hive, MySQL, etc.
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Certifications in AI, machine learning, or data science. Understanding and working knowledge of cloud services and platforms (e.g., AWS, Azure, Google Cloud) related to AI.
$131,100 - $336,900 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field. Experience with Google Cloud or AWS.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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BS/MS/PhD in Computer Science/Electrical Engineering, or related engineering disciplines, ideally with specialization in Data Engineering or Machine Learning. 2+ years of experience with Google Cloud Platform (BiqQuery, Dataproc, Composer, Dataflow, BigTable, etc.
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As a Senior Data Scientist, you will play a pivotal role in our data science efforts, with. Experience using AWS (EC2, EMR, S3, etc) or similar cloud provider (Google, Azure, etc.
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Stay up to date with the latest developments in data science and machine learning techniques. Experience with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.
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Deep technical experience and knowledge in the design and implementation of analytical data platforms and accepted best practices around data movement, meta-data catalogues, data transformation, data ingestion, data security, data science and data mining in both Cloud, hybrid and on-premises environments.
$181,390 - $245,410 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced Analytics, Data Science and Machine Learning:Lead the development and deployment of data products, advanced analytics models, and machine learning algorithms to solve complex problems in areas such as predictive analytics, optimization, and anomaly detection.
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Three (3) or more years of experience working with one of the cloud computing environments such as AWS, Azure, Google Cloud, required. Undergraduate degree in Computer Science, Data Science, Information Sciences, Econometrics, required.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Data Science, machine learning or predictive analytics experience. Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Google BigQuery, Redshift, RDS, Snowflake or similar solutions.
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Any experience with operational data science, machine learning or artificial intelligence solutions. Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management.
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Right now, we are looking for a highly motivated Machine Learning Engineer who will be responsible for powering our Data Science department by scaling, deploying and managing advanced machine learning models.
$130,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago
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