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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. For more information, visit us at Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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3+ years of experience as a hands-on Data Engineer/Architect including ETL jobs, data pipelines, and Big Data analytics. Proficient in large-scale data processing including batch and streaming, query engines, tooling, and storage formats.
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Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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Advanced Degree: Master's or PhD in Computer Science, AI, Linguistics, or related fields, with a focus on machine learning and natural language processing. In your role as a Senior Machine Learning Engineer, you will focus on leveraging and optimizing Large Language Models (LLMs) along with the implementation of advanced AI technologies.
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Preferred Qualifications: 2+ years of experience as a developer, data scientist or machine learning engineer in addition to 2+ years of experience in a TPM role Prior development or management experience on a Machine Learning Platform in a large tech company Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
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Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable. Constructing and enhancing data pipelines for model training and serving using Google cloud products such as Apache Beam/Dataflow, BigQuery, and BigTable.
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Use Advanced big data scheduling techniques (Jenkins, Airflow) for reliable and recurrent data processing. PhD in data mining, database system, data management, machine learning, or statistic is a plus.
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6+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning.
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Integrate automated methods with sample tracking and data management software (is a plus)QualificationsBS degree in Mechanical Engineering, Biomedical Engineering, Bioengineering, Chemical Engineering or a closely related discipline, with 5+ years of related experience or MS with 3+ years of related work experience will also be considered.
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Experience in applying Client analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus. · To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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Enterprise data services, enterprise data integration, data virtualization, web integration, web automation, unstructured data, virtual database, real-time data, cloud integration, big data integration, Data Warehouse, Agile BI, Logical Data Warehouse, data governance, self-service BI, data analytics, machine learning, artificial intelligence, Data Integration, Data Fabric, Data Governance, data mesh, and data management.
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Take the computational biology lead on studies including; designing the study, the analysis plan and carrying out the statistical programming and data management to implement the plan. The QSU is seeking a highly motivated, hard-working and professional computational biology data scientist to extend our team of collaboration with clinical, immunological and bioinformatical researchers.
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Collaborate closely with Product Managers, Designers, and fellow engineers to design and implement new full-stack features and functionalities for our Customer Data Platform, using languages such as React/TypeScript, Ruby, Golang and Rust.
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Role : Oracle EBS Analyst / PLM Data Steward. Maintain the data quality and integrity for Pharmaceutical Product Lifecycle Management between Oracle EBS and Agile PLM. Support, as needed, data migration effort from Agile PLM & EBS to SAP PLM.
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big data degree required jobs Title: machine learning senior in Foster City, CA
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