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Experience with Big Data platforms Apache Spark, Apache Airflow, and Apache PySpark. Design and implement highly scalable distributed systems and storage using advanced algorithms and data engineering tools such as Spark, Airflow, and Kafka.
$136,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Added advantage, if you have prior experience of leading data engineering teams. Imagine a career where your creative inspiration can fuel BIG innovation. Lead and grow a high performing engineering team to deliver data capabilities at scale with engineering and operational excellence built in.
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Strong proficiency in programming languages such as Python, R, or Java, and experience with data analysis and visualization tools (e.g., SQL, Tableau, Matplotlib). We are looking for a highly skilled Data Scientist with a proven track record in driving growth and retention strategies within the entertainment industry, particularly in streaming platforms.
$150,000 - $200,000 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. Deep understanding of next¬-generation sequencing data and bioinformatics algorithms.
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Data analysis expertise and experience with various data analysis software packages such as Origin, Matlab, Minitab, or Image Analysis Software. At least 8 years of direct work experience as an engineer, scientist, or product developer (e.g., System Integration Engineer, System Development Engineer, Product Development Engineer, Physicist, or related occupation) in an industry laboratory setting.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Solid theoretical background in machine learning or data mining and strong conceptual, problem-solving, and analytical skills.
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Practical experience working with big data systems (Apache Spark, SparkSQL, HDFS) Have some experience with big data systems, like Apache Spark, HDFS, etc. As a member of the Platform team, you will take ownership of projects and work with large-scale data processing systems.
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As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Moloco Commerce Media (MCM) enables marketplaces to leverage the recent advances in AI for delivering tailored ads to relevant users, driven by first-party data.
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Simulation automation, data gathering, analysis and visualization using JMP, MATLAB or similar tools. Opportunity to work in dynamic cross-functional role to optimize package, PCB, ASIC, mixed signal circuit.
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Data Visualization Tools: Proficiency with Looker or similar business intelligence platforms to effectively visualize data and insights. This position is ideal for a data engineer or machine learning engineer with a strategy background.
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Identifies what methods (for example, analytics, big data analytics, automation) would provide a solution for the problem. With the sheer scale of Walmart’s environment comes the biggest of big data sets.
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Strong knowledge of privacy laws, data security, and regulatory compliance. Collaborate with internal teams to address privacy, data security, and regulatory considerations. Juris Doctor (JD) degree and active license to practice law in California.
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We're a fast-moving company, always ready to capture inbound customer interest and tackle big challenges head-on. Our market-based compensation approach uses data from trusted third party compensation sources to set salary ranges that are thoughtful and consistent with the role, industry, company size, and internal equity of our team.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data jobs Title: data Company: Intuit in Palo Alto, CA
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