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Utilizing Python machine learning, R statistical modeling, data mining, data warehousing techniques, schema design skills and working with AWS cloud services with specific focus on data tier.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Applies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation AA engines and services. Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark.
Full-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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Using Machine Learning (ML) algorithms; and integrating data from various sources and internal data warehouses by creating standards and repeatable workflows using Snowflake, AWS and Oracle to process at scale.
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Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing.
$55,000 - $136,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You'll DoProcess, cleanse, and verify the integrity of data used for downstream analytics productsApply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)Participate in strategic planning and be responsible for the team roadmap and its execution.
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Experience with applying machine learning techniques to big data systems (e.g., Spark and Hadoop) with TB to PB scale datasets. As a Machine Learning Data Scientist at Meta, you will have the opportunity to do groundbreaking applied machine learning work that will shape the industry and the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs.
$173,000 - $242,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
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Will use big data and machine learning to help clients make decisions in a completely unprecedented way. QUALIFICATIONS Proven working experience as a data analyst or business data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Strong knowledge of and experience with reporting packages (Business Objects etc.
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Experience with machine learning, data mining, econometric modeling, and general statistical modeling. or Java. Familiarity with big data manipulation and analysis tools (e.g., SQL, Spark, Hadoop) along with experience building and implementing models in a cloud-based environment (e.g., Azure, AWS, etc.
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You will have the opportunity, based on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.
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You have 1 to 4+ years of experience in data mining, analytics, machine learning, and statistical programming. You have experience with big data technologies and platforms, specifically Databricks.
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Degree in Computer Science, Machine Learning, Operational Research or another relevant technical field (M.S. or Ph. D., B.S will be considered only with 2+ years work experience in a Data Science role or similar.
$95,000 - $105,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology.
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Knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval and Statistics. Experience with a combination of Spark, Databricks, Snowflake, Redshift, Data Lakes, data products, Cloud Based Big data technologies and handling Metadata.
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big data mining machine learning jobs in New York, NY
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