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Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
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Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Primary Location.
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Perform statistical analysis and data mining to create predictive systems. Significant experience as a Data Scientist or advanced analytical role. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you.
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As a Senior Electrical & Automation Engineer, you will be a key member of the electrical/automation team working with various clients in completing feasibility studies and detailed engineering projects for underground and surface mining operations.
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Analytical skills are needed to create state-of-the-art products that incorporate prediction, data mining, pattern recognition, and balance satisfying user needs with innovative technical solutions and business potential according to Novo Nordisk corporate strategy.
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4+ year of experience in ETL tools, data mining and data wrangling software (SSIS, SAS, Alteryx, Trifacta , or others) Knowledge of natural language processing, text analytics/mining, semantic technology, and/or machine learning.
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Knowledge and proven use of contemporary data mining, cloud computing, and data management tools: Microsoft Azure, AWS Cloud, Google Cloud, Hadoop, HDFS, MapR, and Spark. Minimum 8 years of experience designing, building, and operationalizing large-scale enterprise data solutions and applications using GCP data and analytics services alongside 3rd party tools (Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam/Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, & Github.
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15 years of engineering, design, and construction experience in heavy industry, particularly surface or underground mining. We are a leader in underground hard rock mining engineering and related technology, serving the largest, deepest, and most technically challenging mines in the world.
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3+ years of hands on experience in performing analysis on large data sets (including data gathering and profiling, data mapping, data mining, test data creation, data validation, anomaly detection, code/script validation and visualization.
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Mining Engineer Co-Op/Intern page is loaded Mining Engineer Co-Op/Intern Apply locations US - Carlsbad, NM time type Full time posted on Posted Yesterday job requisition id 51731 The Mosaic Company (NYSE: MOS) is the world’s leading integrated producer of concentrated phosphate and potash—two of the three most important nutrients in agriculture.
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Provide technical expertise on data mapping, data extraction, data cleansing, data mining and analysis. The IA Senior Data Analyst will carry out the process of obtaining, organizing, and delivering on data requests for various Internal Audit projects and special initiatives.
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Leads efforts to educate/train the IA Data Analyst and other IA team members on the effective use of Data Analytic tools and techniques. Undergraduate or Graduate degree in Technology, Data Science, Mathematics, Accounting, Information Systems or Finance.
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In the planning phase of an audit, develop analysis to provide useful data insights (through data visualization and data modeling techniques) to support the development of the scope and objectives and to identify risks and control weaknesses.
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data mining jobs Title: data analyst Company: Rose International
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