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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber - the #1 threat to US national security, above nuclear weapons.
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We are seeking a highly skilled and experienced Senior Manager/Director of Data Analytics and Insights to lead our data analytics efforts within Samsung Digital Health. Proficiency in programming languages such as Python, R, SQL, and experience with data visualization tools (e.g., Tableau, Power BI.
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Create and analyze project schedules using Primavera P6 for a portfolio of global Data Center program. Develop and implement earned value management (EVM) processes and system for Global Data Center program for tracking project / program integrated performance against contractual baseline.
$135,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Reporting to the General Manager, the person in this role will support the Infrastructure and Data Platform Department's objective to develop next-generation AI and data platforms capable of handling millions of vehicles and provide MaaS (Mobility as a Service.
$60 - $70 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency with data processing frameworks (e.g., Apache Spark, Apache Beam). Familiarity with data visualization and business intelligence tools (e.g., Tableau, Power BI). Evaluate and recommend new tools and technologies to improve data engineering processes.
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Experience working with business applications like SAP and Agile, and understanding of cross functional business processes in Engg. & Mfg. and PLM domain (PDM, NPI, BOM, MRP) and enterprise data elements.
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Collaborate with USRA and USGS seismologists, geodesists, and system engineers to integrate GNSS data into earthquake monitoring and mitigation efforts. The purpose of this position is to support the collaborative research with USGS focused on improving ShakeAlert, crustal deformation monitoring systems, and post-earthquake response by including high-rate and real-time geodetic data.
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The ideal candidate will have a background in Azure Data Engineering, Azure Data Lake, Azure Databricks, MS Fabric Ecosystems and Oracle E-Business Suite (EBS). Design, develop, and implement data engineering solutions using Azure Data Services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.
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The candidate must be able to process data and evaluate data quality, including recognizing anomalous and inconsistent results. Presents data and works with immediate supervisor on problems of moderate complexity.
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What Additional Experience Makes A Strong Candidate: 4+ years of production experience with Scala 4+ years of production experience with Micro Services / Streaming Services Experience addressing ML problems, particularly in domains such as Time Series, Computer Vision (CV), Natural Language Processing (NLP), and data mining Proficiency with popular ML frameworks (Xgboost, TensorFlow, PyTorch, etc.
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Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, and Hadoop in both on-premise and AWS environments. Experience with large-scale open source data processing frameworks such as Spark, Kafka, Airflow, Flink, Hudi, etc.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Reporting to the General Manager, the person in this role will support the Infrastructure and Data Platform Department's objective to develop next generation AI and data platform capable of handling millions of vehicles and provide MaaS (Mobility as a Service.
$127,000 - $130,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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BA/BS, quantitative or technical degree (math, economics, data science, engineering, or finance), or MBA a plus. This role will balance both qualitative and quantitative data to paint a clear picture on where to prioritize efforts to reach our growth goals.
$125,300 - $204,700 a yearFull-timeExpandApply NowActive JobUpdated Today
data job Title: data project manager Company: Crowdstrike in Menlo Park, CA
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