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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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RNN) in a work setting, not just academic projects Hands-on experience in building and deploying machine learning and statistical models using Python, PySpark, Machine Learning libraries, SQL. Experience in computing/programming skills; proficiency in Python, R, and Linux shell script.
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Experience with big data technologies, data modeling, and some knowledge of machine learning – R/Python, SQL or Spark. 5-8 years of experience in customer success / analytics consulting and in advising enterprise clients on analytics roll out, adoption, and use case execution.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience on big data technologies and tools (e.g., Hadoop, Spark). Proficiency in programming languages like Python, R, or Java. Familiarity with AI and machine learning frameworks (e.g., TensorFlow, PyTorch.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
$150,400Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong SQL skills and hands-on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI. Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Proficiency with data science tools and programming languages such as Python, R, SQL, and Scala. The Senior Data Scientist is responsible for leading complex data analysis projects that have a direct impact on the company’s strategy and operations.
$130,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure). 5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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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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Use analytics methodologies and analysis tools, such as Python, R and SAS to perform data extraction and analysis, variable reduction, Big Data processing, and model development, stabilization, and validation.
$104,603 - $163,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Learning, statistical analysis, and predictive modeling; Programming in R, Hadoop, or Python; and “Big data” platforms including Hadoop (Azure, GCP, or AWS). analysis methods, machine learning, and performance metrics; perform software development/programming using R, Hadoop, or Python and advanced analytics tools and languages to analyze large data sets from multiple data sources; leverage SQL to quickly perform analyses on large and complex data sets to solve complex business problems and guide data scientists and data engineers on more advanced analyses; presents recommendations to senior.
$163,238 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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In this role, the Data Scientist must be able to extract data, model and optimize production algorithms across our platforms, and query/manipulate data on an ad-hoc basis by using SQL, Python or R. Additionally, the Data Scientist must be flexible to quickly learn open source and big-data technologies such as Spark and the AWS/GCP ecosystems.
$98,400 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Understanding and capabilities with Python, R scripting and other advanced data coding languages. Advanced knowledge and experience with big data ecosystems, relational databases, SQL, and business intelligence tools (Tableau or Power BI, etc.
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This is a full-time on-site role for a Data Scientist located in the New York City Metropolitan Area. The Data Scientist will be responsible for utilizing statistical analysis, machine learning, and data visualization techniques to extract insights from complex datasets.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Expertise in one of the following areas: environmental, nutrition security, geospatial information systems, exposure science including but not limited to the impact of exposures on health outcomes of chronic or infectious diseases, climate change, nutritional epidemiology, urban health, and geospatial effects on human health including but not limited to the application of GIS, big data, artificial intelligence, exposomics, or machine learning computational methods to improve health outcomes.
$110,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago
on big data r python jobs in New York, Norwood, Massachusetts
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