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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Experience with Sagemaker AWS, Kafka, Python, R, SQL and NoSQL Databases, Spark, Scikit-Learn, Keras/TensorFlow, PyTorch, Docker, CI/CD Pipelines, Git, or developing APIs. Responsible for assisting the Lead Data Scientist and the data science team with building solution accelerators, pipeline development, and building integrations with our LLM Products on the Databricks platform.
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Experience with Python data analysis libraries such as Pandas, NumPy, and SciPy or similar in R. Seeking a Summer Semester 2024 Data Science Intern currently enrolled in college and seeking a data-centric or technology-centric degree.
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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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The Senior Data Scientist works with Data Scientists to use high-level software tools (e.g., R, SQL, Netezza, SAS, Stata, Git, Python) to clean, build, sample, and prepare data for analysis, build analytics models, and conduct econometric/statistical analysis.
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Typically, Minimum 4 Years Relevant Exp Demonstrated experience with sophisticated analytics tools and programming languages (e.g., SAS, SPSS, R, Python, SQL, HiveQL, Spark, Hadoop) Proficiency with visualization platforms such as Tableau, Qlikview, PowerBI, D3, or JavaScript.
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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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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Programming knowledge required for data analysis and automated data acquisition (Matlab/Python/Mathematica) We are seeking an Intern Year Round - R&D Undergrad to support integrated photonic research in the Photonics and Phononics Microsystem department for various national security applications including quantum, optical communications, sensing, and RF signal processing.
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Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) A minimum of 6+ years of data science/ops research experience preferably within the supply chain industry, demand planning, CPG industry and/or retail replenishment.
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Programming languages such as Python, JavaScript, TensorFlow, PyTorch, Scikit-Learn, Qlikview, R Shiny. As a Data Scientist & Machine Learning Engineer, you will work closely with cross-functional teams and other Hitachi group companies to develop and implement data-driven solutions that drive strategic decision-making and deliver large-scale digital transformation for our clients.
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Generates analytical and data insights to drive business actions using SQL, Qlik/Tableau, Python, and R. Creates complex, automated analytics solutions using Text Mining and Natural Language Processing (NLP) tools.
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Essential Job Duties Retrieve and process massive structured and unstructured datasets Build ML models and automated systems like recommendation and scoring tools Perform statistical analysis and data mining to create predictive systems Visualize insights using Microsoft Office, Tableau, Python, R Develop ML prototype solutions with TensorFlow, PyTorch etc.
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Core Tools: Python, R, NextJS, React, TS, Tailwind. Leverage your strong backend development skills using Python, Databricks and AWS, while working on ingestion and analysis of a high volume of complex medical claims data.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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big data science r python jobs Company: Pwc
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