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You will lead a team of researchers creating data-driven algorithms for ATG. The initiatives will include both short-term and long-term research in areas such as artificial intelligence, machine learning & data mining, natural language processing, big data systems, information and data visualization, and social & cognitive science.
$199,300 - $247,500Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Successful candidates should also have expertise in some of the following areas: Politics of difference Politics of Latin America or Asia Methods for causal inference AI/machine learning Big data analytics Other interdisciplinary topics at the nexus of politics and data science or statistics.
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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. Collaborate with cross-functional teams to understand data needs and deliver solutionsStay updated with the latest industry trends and advancements in big data technologies, particularly in healthcare applications, and proactively suggest improvements to enhance data processing processes and tools.
$140,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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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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Big Data Architect IT Consultant Master (ONSITE) The client seeks an experienced IT Consultant to support the design, development, implementation and maintenance of an enterprise Big Data solution as part of the client Data Modernization Effort.
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Open up opportunities with HPE.Job Description:Senior Big Data Platform EngineerHPE is looking for Big data platform engineers with a strong background in building robust and scalable solutions in data warehousing, ETL, big data/analytics, data science, and cloud platforms based on Hadoop/Cloudera , Data Bricks and other cloud platforms.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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O Coordinating with the Senior Audit Director and overall team to identify use cases and develop plans for data analytics, data science and continuous auditing by examining the audit plan and collaborating with assigned audit team(s) and CAS Data Analytics.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As ABSC’s Data Scientist , your job will be to perform cutting edge data analytics and support a major program advancing the state of the art in mission-focused big data analytics and predictive analytics.
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Experience with data warehousing, data lakes, and data pipelines, with experience in Snowflake, AWS, Google Big Query, Airflow preferred. The Sr. Technical Product Manager will also be responsible for working with cross-functional teams to ensure that data is used effectively across the organization in close partnership with data engineering, data science, and strategic insights teams.
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Bachelor’s degree in computer science, Engineering, or a related field10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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O Facilitate an ongoing, formal partnership via a dotted-line relationship with the CAS Data Analytics team's Data Science Manager. o Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Key Required Skills: Extensive experience in Design, implementation; support data ingestion, and consumption pipelines for enterprise-scale datasets using Big Data tools, such as Kafka, Spark, Oozie, Hive, MapReduce, Flume, Pig, Scala, Python, and Java Requirements Basic Qualifications: Bachelors Degree in Computer Science, Mathematics, Engineering or a related field with 7+ years of experience.
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