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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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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 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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We are currently seeking a Data Scientist who will create strategy, implement and execute the strategy and use technologies such as Machine Learning, Artificial Intelligence, and Data Analytics.
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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 10 days ago - UpvoteDownvoteShare Job
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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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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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As a Technical Project Manager, you will play a crucial role in driving the successful execution of marketing initiatives, leveraging your expertise in Martech tools, Salesforce CRM, Salesforce Marketing Cloud, Adobe Marketo, lead routing, privacy reviews, data strategy, lean data, lead upload lists, and basic knowledge of marketing automation.
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Experienced with open source big data processing technologies such as Airflow, Hive, Flink, Spark, Kafka, Storm, etcKnowledgeable with Data Science tools and frameworks. Contribute to the overall architecture and design of healthcare monitoring applications, providing valuable input on data processing and data governance.
$140,000 - $200,000 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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ThoughtSpot is the experience layer of the modern data stack, leading the industry with our AI-Powered Analytics and natural language search. Bring technical thought leadership to advance ThoughtSpot’s differentiation and market leadership in the democratizing data analytics for business users.
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Stanford University is seeking to hire a full-time Data Scientist to join the Immigration Policy Lab (IPL) to work on its GeoMatch research portfolio. Your one-page cover letter should briefly describe your background and interest in IPL and the GeoMatch research program, your experience doing data science work in collaborative environments, and your motivation for joining a team using data science for social impact.
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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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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines (, SQL, DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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