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Experience with Hadoop, Spark, or other parallel storage/computing processes. Department: Data Scientist/Engineer. Experience working with data platforms such as Palantir Foundry, Salesforce, Databricks, Snowflake is strongly desired.
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The Applied Scientist will use a variety of tools (e.g. Python, SQL, SageMaker, R, SAS, etc.) - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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Experience in Big Data platforms (Hadoop, Spark, Hive) and data engineering (ETL) pipelines is required. Data Scientist II. Experience in Big Data platforms (Hadoop, Spark, Hive) and data engineering (ETL) pipelines is required.
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As a Machine Learning Scientist, you will develop cutting-edge ML algorithms for early detection of certain diseases or disease conditions. Experience with big data technologies such as Hadoop and Spark.
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Cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark) Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark.
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Deep knowledge of open-source data science and statistics packages such as Python, R, Spark, etc. Guide and mentor a team of data scientist to use a wide range data science technique for descriptive, diagnostic, predictive, and prescriptive analyses.
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Big Data and Data Science tools such as Hadoop, Spark, Python, R. Lead various projects coordinating efforts of actuarial analytics, data scientist, market leadership, underwriters, and product specialists to design experiments and deliver analytics solutions.
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Proficiency to architect / design highly complex technical systems (e.g. Apache Spark, Kubernetes, Hadoop) and demonstrate their viability/value via creation of advanced prototypes. We also have strong collaborations/partnerships with top-tier universities and research institutions such as CMU, Caltech, NASJPL and NYU to name a few.
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R, Python, Java, Ruby, Scala/Spark or Perl) With over 900 million members around the world, a focus on great user experience, and a mix of B2B and B2C programs, a career at LinkedIn offers countless ways for an ambitious data scientist to have an impact.
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Experience with large scale distributed systems such as Hadoop, Spark etc. The Applied Scientist role is critical in transitioning the analysis output from Descriptive/Diagnostic to Predictive/Prescriptive, and providing the operations teams with actionable insights to enable ongoing improvements.
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Demonstrated experience with one or more of the following: Spark, MLFlow, Docker, AWS, Linux/CentOS, bash scripting. NewGen Technologies is seeking a versatile Data Scientist with a TS/SCI and poly to join a high paced team working on cutting-edge AI/ML and networking technology.
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Experience working with data technologies that allow effective storage and analysis of large amounts of data (e.g. Spark, Presto, Hive, etc.) As a Data Scientist, you will be partnering with the Product, Sales, Customer Success, Infrastructure, and Engineering teams embedded in the Cloud businesses, as well as functional leaders who provide data and analytical infrastructure, identify and execute initiatives that benefit the whole Di and multiple Cloud businesses.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Knowledge and experience working with Spark or Databricks is a plus.
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Leverage a broad stack of technologies — Python, Conda, Flask, Dash, Hugging Face, LangChain, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Experience with Apache Spark. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with Apache Spark. Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
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