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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Fluency with Python and data analysis using modern frameworks for deep learning Pytorch, TensorFlow-Keras). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field. Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
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A degree in statistics, data science, or similar STEM field with 10+ years of experience in a relevant role. 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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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines. Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited.
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Excellent written and verbal communication skills; ability to work well with peers and leaders across data science, marketing, and engineering organizations. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Benefits & Perks● Medical● Dental● Vision● Fitness/Wellness reimbursement● Internet reimbursement● Home Office stipend● Unlimited PTO● Mental health days off● Annual company offsiteJob DetailsJob Details:We are looking for an innovative and experienced Head of Data Science to join our FinTech/eCommerce team in the Technology industry.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Job Title:VP, Data Center Power ProcurementCompany:PrologisA day in the lifeWith rapid increase in Artificial Intelligence (AI) and associated need for data center development, Prologis is developing a strong pipeline of real-estate properties globally for our customers many of which are the hyperscalers.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields. Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information.
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At least 5 years of experience in data science, machine learning, and statistical modeling. Stay up-to-date with advancements in data science to improve modeling capabilities.
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9+ years of experience in Data Security or related areas and expertise in two or more of the following: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter–Service Authentication, Secure Application Frameworks, Detection & Response.
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modern big data jobs Title: data science in San Francisco, CA
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