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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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Experience handling massive batch/streaming data using big data tools, such as Apache Spark. Spearhead the expansion of our python data science experience within ArcGIS.
$194,688 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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As an individual contributor, you will be responsible for ensuring the delivery continuity of existing solutions that incorporate data science and machine learning. The successful candidate will have a proven track record in data science and an in-depth understanding of machine-learning techniques.
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You will play an important role in building out the data science practice within the engineering group. In addition, this role will so have responsibility for helping to develop a more comprehensive and robust data science practice that can be applied to all areas.
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Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
$342,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Undergraduate teaching experience in core topics in Data Science such as programming, data mining, data visualization, Parallel and Distributed Computing, Machine Learning, Big Data Engineering and, Probability and Statistics will be considered an asset.
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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Proficiency in programming languages like Python, SQL, and working with big data tools like Spark and Hadoop. This senior leader would be the founding member of a Customer Data Science (CDS) team to take on these challenges - requiring this leader to develop and execute a team charter and roadmap, resulting in new customer and operational KPI reporting, predictive intelligence (e.g., at-risk customers, customer maturity, etc.
$345,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Expertise in at least two fields in Natural Language processing (Natural Language understanding, deep learning, Natural Language Generation, Large Language Models, and generative AI) or at least two fields in Data Engineering (ETL data pipeline, big data processing, data warehouse, NoSQL database, distributed/parallel systems, and cloud computing.
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The Analytics Experience team, which is part of the Artificial Intelligence, Data and Advanced Analytics (AIDA) organization is responsible for the creating a seamless experience for analytics experts to harness the potential of big data, machine learning, and interactive analytics through a unified platform across the enterprise – from scientific/clinical to commercial across all Pfizer geographies.
$242,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Engage in strategic discussions related to optimization, data science, and big data analytics. We are seeking an experienced Data Science Specialist III to join the Big Data and Advanced Analytics department.
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Big data doesn't faze you. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Mgr, Data Science.
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Experience building statistical modeling and correlation tests using Python and SQL. Experience analyzing data using Python and SQL. Experience analyzing clickstream web data using Hive SQL, Big query, and Google Cloud.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Participate in strategic planning discussions around optimizations, data science and big data analytics. We are currently seeking an experienced data scientist to join the Big Data and Advanced Analytics department.
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big data jobs Title: data science
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