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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. " Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow—across product categories and geographically.
$126,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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The DGPP is responsible for preparing and leading the implementation of a strategic direction for data management within WSP. The Program functions at an executive level within WSP, reporting to the Chief Information Officer (CIO.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America's First Smart Network.
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For over 40 years, we've been challenging the status quo and evolving our company to anticipate opportunities for business growth, industry innovation and greater customer choice.
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Build high-performing data processing frameworks leveraging Google Cloud Platform and utilizing GCP Services like Big Query, Python, Composer, Dataflow, GKE, Pub-Sub, Cloud Monitoring. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
$72,100 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have 5 or more years with database/cloud skills and data visualization skills. · Must have 5 or more years of programming language experience of data science technologies. · Proficiency with architecture and data modeling for applications, data flows and securing data at rest and in-transit.
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We are seeking a Data Scientist to support our client improve the way they manage and utilizes data within the organization. Physics based simulation, modeling, and data analysis experience.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop and maintain infrastructure for effective data extraction, transformation, and loading (ETL) utilizing AWS and SQL technologies, streamlining data processing workflows. Familiarity with dbt for data build tooling.
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We are seeking a Principal Scientist to propel our data science, helping to build world-class platform capabilities in analytics and machine learning supporting biological discovery and drug development programs.
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Substantial Experience in software development life cycle (SDLC) and data pipelines and job monitoring management/tools (AWS Glue, Airflow, Terraform, Kubernetes, CI/CD, PII/PHI protection and data masking, etc.
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Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems.
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Title: data Company: Comscore Networks
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