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Walmart is seeking a highly qualified Data Scientist with a Ph. D. or Masters in Computer Science, Statistics, Artificial Intelligence, or related fields and at least 1-2 years of work experience in machine learning.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Title: Data Scientist. Hands-on experience with Python, Java or Scala, and the ability to write reusable and efficient code to automate machine learning pipelines and data processes.
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Extensive hands-on experience with GCP services or other clouds(Azure, AWS) and tools such as Terraform, BigQuery, BigTable, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc, Cloud Build, Airflow, Cloud Composer, Tekton, and Vertex AI.
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Experience working with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark). What you'll bring:- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Development Scientist, you will focus on new product development and business support projects at the next scope level. Understand data distributions and how to analyze and apply(Normal, Binomial, Exponential), Hypothesis testing, Understanding Central limit theorem as it relates to developing and setting specifications in manufacturing environments, DOE setup and execution using statistical software.
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Work From Home Data Entry Research Panelist Jobs - Part Time, Full Time This is a remote work from home position perfect for those with any type of work background such as administrative assistant, data entry clerk, typing, customer service representative, drivers etc.
Part-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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S, progressive work experience as a data engineer, data analytics manager, business intelligence developer, or similar position. s, progressive work experience as a data engineer, data analytics manager, business intelligence developer, or similar position.
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KPMG is currently seeking a Senior Associate, Risk Management, Technology Data Organization to join our Risk Management organization. Follow this link to obtain salary ranges by city outside of CA: KPMG LLP (the member firm of KPMG International) offers a comprehensive compensation and benefits package.
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Data science, data analysis, statistics, or related field, Master's degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Data Visualization tools and/or toolkits like Power BI, Streamlit etc. The Senior manager of Data Science would be someone who thrives at the intersection of data science, technology and business understanding to drive source to shelf supply chain analytics and bring an understanding of economics to inform pricing and net revenue management analytics to drive omnichannel revenue growth and improve share of market.
$192,100 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience Data pipeline engineering HUDI / DELTA, Google HIVE, Elastic Search for data migration. As well as own and support delivery for all the features for the global data engineering and platform.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Applied Research Associates, Inc. (ARA) is seeking a Computational Scientist/Engineer to join our team in Bentonville, Arkansas. What You’ll Do As a Staff Computational Scientist/Engineer.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Create data pipelines using Apache Hive, Apache Spark, Scala, Apache Kafka. 4+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive,Scala, Airflow or a workflow orchestration solution are required.
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Design and develop high quality technology solution that address business needs developing application within mature technology environment Work with Big Data technologies, distributed file systems, Hadoop, HDFS, Hive, Hbase, spark, Hive, Pig scripting, Scala and Python.
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Data Engineering: Design, build, and manage scalable data pipelines and ETL/ELT processes using GCP tools such as BigQuery, Dataflow, Dataproc, and Pub/Sub. SQL Development: Write efficient and complex SQL queries for data extraction, transformation, and analysis.
Part-timeExpandApply NowActive JobUpdated 15 days ago
Title: data scientist Company: Iqtalent Partners in Rogers, AR
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