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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Data science, machine learning, optimization models, PhD 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.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Knowledge of statistics, data science, AI/machine learning, big data management. We are interested in a variety of topics including large-scale distributed systems, stream processing, edge computing, applied machine learning and AI, big graphs, natural language processing, big data management, and heterogenous data analytics.
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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.
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Inspire, collaborate, and build credibility as a domain expert in Big Data specifically data science, data governance, and master data management. Experience and working knowledge of enterprise tools, MDM, and Big Data products like Informatica, SAP SAC, Oracle, Tableau, Salesforce, etc.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Experience with cloud and big data technologies to extract and analyze data (Snowflake, S3, Redshift, Athena, Hive, BigQuery, Spark, etc). 5+ years of hands-on experience in applied data science and/or economic research (real estate or housing experience preferred.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Experience engineering big-data solutions using technologies like EMR, S3, Spark, Databricks.
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The Senior Big Data Software Engineer is responsible for the development of high performance, distributed computing tasks using Big Data technologies such as Hadoop, NoSQL, text mining and other distributed environment technologies.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our Senior Big Data Software Engineering, earn between $116,700 - $175,100. University Degree/master’s degree in computer science and/or Data Analytics preferred. Expertise in building robust data engineering frameworks, Azure cloud, python/JAVA/Scala, and Data bricks (Apache Spark.
$116,700 - $196,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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Energy Sciences, Biosciences, Physical Sciences, Computing Sciences, Nanotechnology, Supercomputing, Big Data, Energy Innovation, Science, Climate Change, exascale, computing, environmental science, materials science, Artificial Intelligence, AI, Machine Learning, Climate, Supercomputing, and Basic Science.
$126,900 - $214,140 a yearFull-timeExpandApply NowActive JobUpdated Today
big data science jobs Title: sr associate
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