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Fluency in core set of Data Science. Embedded within the product team, data scientists are responsible for setting product goals in the right direction; driving growth on business partners; designing experiments and frameworks to identify opportunities and risks.
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The successful candidate will be responsible for designing, generating and communicating pharmacology data to support the progression of oncology research programs. Accurate/timely record keeping and data analysis of in vivo data.
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You have experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.) As a Business Intelligence Manager, you will own the delivery of actionable insights to inform data-driven decisions on sales & marketing strategy, and increase efficiency of our go-to-market operations.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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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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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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BA/BS, quantitative or technical degree (math, economics, data science, engineering, or finance), or MBA a plus. This role will balance both qualitative and quantitative data to paint a clear picture on where to prioritize efforts to reach our growth goals.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Lead development of the data management strategy and architecture including identifying data collection needs, data models, and requirements. Experience: 8+ years of experience in the following areas: aerospace engineering, data engineering, or simulation and modeling of dynamic systems.
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While the largest technology companies have proven the speed and scale of ad-targeting utilizing data, the same robust performance powered by machine learning has previously been unavailable beyond their platforms.
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SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, Skype, OneDrive and the Microsoft Azure platform globally with our server and data center infrastructure, security and compliance, operations, globalization, and manageability solutions.
$282,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Opportunity:Join the Data Management (DM) team at the Vera C. Rubin Observatory, one of modern astronomy's defining missions. Orchestrate data releases and alert production, playing a key role in the observatory's output and scientific achievements.
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Complex securities valuation – experience with MBS, ABS, CMOs while not directly applicable a plusExperience utilizing Market Data Providers (Bloomberg, FactSet, Capital IQ), Bloomberg preferredWork shift is 8:30am PT - 5:00pm PT.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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Experience in programming languages used for data manipulation and computational statistics (e.g., Python, R, MATLAB, C. We are looking for a Quantitative User Experience Researcher to help us understand the key needs of the design language using a combination of foundational and tactical quantitative research.
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data job Title: technology lead Company: Big Blue Marble Academy in Atherton, CA
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