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6) Perform data acquisition using JSon, SQL, ODBC, JScript, or API for big data extracts and use programming languages like R, Python, SQL,.net, Java or C. Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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Work with big data and query through big data environments, e.g., data clean rooms or Omnicom 3P data partnerships. Production of campaign reports and analyses according to measurement plans Reporting could be executed through media platform APIs or through big data clean rooms, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud.
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Prior experience leading cross-functional teams and transition to leverage cloud capabilities for data science using tools such as Snowflake and AWS. Prior hands-on experience in data science modeling for credit risk, fraud, loss forecasting, capital market analytics, marketplace lending.
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Research areas include data sciences; databases/big data; data mining/machine learning; software engineering; cloud computing; networks; mobile and pervasive computing; IoT; computer vision; security and privacy; bioinformatics and biomedical computing; robotics; and artificial intelligence applications.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Requirements Bachelor's degree (or equivalent degree) in Computer Science, Information Technology, or related technical fieldMinimum of 12+ years of experience in Information Technology with 5+ years of proven people management experience in a support organizationRelevant certifications such as CISSP, CCNP, AWS Certified Solutions Architect, or ITIL are a big plus.
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Employ big data technologies to enhance data availability and quality in the AWS cloud. 5+ years of data engineering know-how with Apache Spark or Apache Flink. Proficiency in SQL for RDBMS and data warehouse solutions, such as Redshift.
$180,000 - $210,000 a yearExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). A minimum of a bachelor's degree in Computer Science, Engineering, or a related field; a masters degree or PhD is preferred.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Some of the key components of this new facility are NextGen Data Science and Analytics Innovation Center (dSAIC), Augmented and Virtual Reality Lab, Robotics Lab, Motion Capture Lab, UAV & Drone Lab, Innovation Studio & 3D Printing Lab, and High-Performance Computing Lab. In addition to the BS (ABET-accredited), MS, and Ph. D. programs, the Faculties of ME and ECE are playing key roles in several new interdisciplinary degree programs in Biomedical Engineering and Cybersecurity.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
$60,000 - $110,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it.
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Experience with large scale enterprise applications using big data solutions such as Hadoop, HBase, Spark, Kafka, Airflow, AWS Glue, etc. + Partner with Analytics, Data Science, Data Engineering, Data Architecture, Data Quality & Governance, Product Design, and other Technical Program Management team members to develop, test, and deliver high quality products and features.
$149,400 - $202,200 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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As a Walmart Data Modeler, you will dig into our mammoth scale of data to help unleash the power of retail data science by imagining, developing, and maintaining data models that our Data Engineers, Scientists and Analysts can rely on.
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) Experience in applied data science role or equivalent; ideally in CPG/Retail.
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