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Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search. Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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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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Strong understanding of Azure infrastructure services, such as Virtual Machines, Storage Accounts, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Databricks. Design and deploy scalable and secure Azure infrastructure solutions for our data platform, including Databricks, Azure Data Lake Storage, Azure Synapse Analytics, and other related services.
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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. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Camio is a leading AI Computer-Vision company dedicated to revolutionizing video analytics, search and retention solutions for governance, risk, and compliance (GRC) applications. Use data analytics to make informed decisions, optimize sales processes, and enhance overall revenue performance.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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We are seeking a highly motivated Associate Scientist/Scientist to join our Assay & Analytics team and contribute to multiplexed HTP approaches for enzyme and host engineering in microorganisms, particularly yeast.
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BA/BS degree in Computer Science, Information Systems or equivalent practical experience in business intelligence, data analytics, data science or data engineering roles. As a Senior Data Analyst on the Analytics team, you’ll work cross-functionally with internal stakeholders to develop, scale and uplevel data infrastructure and tools that drive bespoke business reporting and forecasting needs, as well as use data-driven techniques to solve complex business problems.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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RequirementsBachelor’s degree (or equivalent work experience) in Physics, Electrical Engineering or Mechanical EngineeringExperience working with optical systemsExperience with embedded systems software (e.g. Arduino, Raspberry Pi, etc)Experience running scientific experiments and evaluating hardwareKnowledge of data analytics in Python (e.g. numpy, pandas, etc)Some experience with AWS desirableBenefits: PTO and paid holidays.
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Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain. We are seeking a highly skilled and experienced Data Engineer to join our HR Data and Analytics Team. As an Experienced Data Engineer, you will play a crucial role in enabling analytics across the HR organization, empowering data-driven decision-making.
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Design, build and optimize pipelines for data collection for storage, access and analytics. Data Migration, Integration, API’s development, Data Streaming ( Batch and continuous) and scheduling.
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As the Sr. HR Manager you will leverage your strong business acumen and intellectual curiosity to bring valuable data driven insights to the team and business. Must be well versed in using HR systems (Workday, Greenhouse) as well as Google Sheets, Excel and similar programs.
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Own and drive product security initiatives in Google Cloud and collaborate closely with other executive leaders on initiatives across Cloud, Technical Infrastructure, and the broader Google Security community.
$271,000 - $399,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Minimum Qualifications- 5+ years of hands-on experience in developing, implementing, and validating Transaction Monitoring programs- Bachelor's degree or above in Computer Science/Statistics/Mathematics or other related majors- Proficient in data processing and analytics in big data environment using SQL/Hive/Spark etc- Mastery of at least one prevalent programming language for data science, such as Python, Java, or Scala.
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NGS (next generation sequencing ) data formats (e.g. Bam, Fastq,) and Data pipelines (WGS, Broad GATF, nf-core. Backend systems including Realtime search (Elasticsearch), Database (PostgreSQL), Datawarehouse (Snowflake.
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