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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Keep up to date on the latest developments in laws, regulation and industry trends applicable to martech, ad tech, digital media and technology, Big Data, OTT and IOT, including data privacy laws, consumer protection laws, and other guidance from relevant agencies.
$370,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Be familiar with Big Data platforms and Cloud tools data mining, data cleaning, data warehousing and structures and one or more RDBMS systems. Advanced knowledge of Excel and extensive experience with and proficiency in statistical computing software or data analytic environments (e.g., SAS, SPSS, Stata, SQL/NoSQL databases including ETL, Python, R, Tableau), including the ability to analyze large and complex datasets for patterns and trends, and build statistical models.
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Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
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Optimize and manage Oracle databases, with a focus on data integration, cleansing, and storage. Proficiency in SharePoint development and administration, with a focus on data management, workflows, and integration.
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New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD InternSan Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern. On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadershipWe'd love to find someone who is.
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Ideal candidate should have a strong background in mathematics, statistics, and machine learning, along with solid skills in Python, Data Analysis/Visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.
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Collects and reports data, as required and work with team leader, data analyst and other SOS teams to use data to inform future care delivery; Job Overview: The Licensed Mental Health Professional will play a pivotal role on one of Governor’s newly launched innovative Safe Options Support (SOS) teams, that will provide comprehensive care to street homeless or subway dwelling individuals.
$74,984 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in consulting or corporate work experience focused on using data to uncover insights that drive action and communicating analyses to technical and non-technical audiences. 3+ years of experience with being a user of data analytics visualization tools, including Tableau, Microsoft Power BI, Qlik, and SAP Business Objects.
$112,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good understanding of OpenShift, specifically running ElasticSearch on OpenShift o DevOps skills, preferably ArgoCD would be a big plus o Databricks/Hive/Data lake/Delta lake. Design and develop scalable data processing systems using Apache Spark and ElasticSearch.
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Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. + Build and lead a team of data scientists, organizing analytical processes and workflows, and mentoring/developing the managers what work on your team as well as junior team members.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide technical expertise and guidance on the selection, hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
$300,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI) It means keeping up to date on the ever-evolving data and analytics technologies and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers.
$241,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday
on big data jobs Company: Directv in New York, NY
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