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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Expertise in Data Science, ML Ops and ML system design. 10+ years of hands-on experience in building end-to-end systems and in ML Ops, including exploratory data analysis, feature engineering, sampling, model training with ensemble learning and/or deep learning, model validation, testing, serving, deployment and monitoring.
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Experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes. The client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the Data Modernization Effort.
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Experience with deployment and management of data science tools and modules such as JupyterHub. Knowledge of modern Big Data and Data Architecture and Implementation best practices.
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Position Description: This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will use cutting edge data engineering techniques to create critical datasets and dig into our mammoth scale of data to help unleash the power of data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts can rely on.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PySpark, PyArrow TensorFlow, scikit-learn, Xgboost, DASK, h2o) and or experience efficiently deploying AI/ML solutions in big data production systems on premise or Azure & Databricks with consideration of resource utilization and costs.
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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
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Division of Health Data Science in DOS is a newly created division which focuses on the development of novel data science methods to analyze biomedical big data for advancing health care.
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Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Terraform, Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer etc.
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Job ID: OCTO Big Data Architect IT Consultant Maste - 746534. 5 Years of experience implementing modern Big Data storage and analytics platforms such as Databricks and Data Lakes.
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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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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Develops complex financial, business, and data analyses and reports on case data using T-SQL, Python, MS Excel, Informatica, Power BI, Qlik Sense, Splunk and other big data analytical tools.
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Our team is looking for an outstanding leader with a talent for analytics, a strategic approach, and an orientation for action to join the InsurTech team as Principal Data Science, Analytics.
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big data science jobs Title: data Company: The Contingent Plan
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