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Bachelors or an advanced degree in GIS, environmental science, geology, geomatics engineering, geotechnical engineering, or related field with demonstrated GIS training or coursework. Understanding of remote sensing general principles and applications (e.g., LiDAR) and experience using derived data products (e.g., las dataset, DEM, DSM.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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Candidates should be familiar with some of the following: subsurface imaging with passive seismic data, geomechanics, earthquake characterization, seismicity forecasting, seismic wave physics, big data processing, machine-learning-based processing, distributed fiber optic sensing, seismic sensors and deployment, hydraulic fracturing, and/or geothermal exploration.
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We are looking for a Head of Data Science to tackle complex computational questions within the gene-editing space. Lead the Biological Data Science department consisting of a team of computational biologists, bioinformaticians, and data engineers.
$170,000 - $211,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Experience with EDC systems including study start up, conduct data review and database lock. Develop CRF annotations and data specifications per standards required by regulatory agencies in the country where the study is conducted (e.g. CDISC Study Data Tabulation Model for FDA submission, ISO for clinical research, ICH.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow.
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You will collect data from various internal systems (examples: Claims processing or membership systems) and external systems (EMR/EHR) and convert those data into actionable insights to guide business decision making for BSC population health management and quality of care.
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6+ years of experience in machine learning, data analysis, or a related field. Strong knowledge of machine learning algorithms and data analysis techniques. Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects.
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You will be expected to source leads, cold call and email them to generate interest and close deals selling our Square ecosystem to prospective merchants. With Cash App, anyone can easily send, spend, or invest their money in stocks or Bitcoin.
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Proficiency in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, DataOps, DevSecOps, data streaming like Kafka, RabbitMQ, data stacks like Airflow, Databricks, dbt, and data stores like Snowflake, Cassandra, Aurora.
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Knowledge of algorithms for data mining, machine learning, and natural language processing (NLP). Apply your expertise in people research, quantitative and qualitative analysis, data science and data visualization to provide insights on a broad spectrum of people issues (e.g. connection, collaboration, productivity, wellbeing, belonging, career growth) as employees work in a mix of hybrid and in-office settings and product design to support such work.
$144,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day.
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Experience in architecting, implementing, and interpreting risk/scoring models in conjunction with data science teamsExperience with a Fintech SME lending platform or Credit focused Asset Manager / Hedge Fund researching higher risk forms of corporate credit (High Yield, Distressed debt, Leveraged Loans, Private Debt.
$45 - $50 an hourRemoteExpandApply NowActive JobUpdated Today
learning source big data science jobs Company: Walmart in San Francisco, CA
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