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Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Expertise in data integration, ETL tools, and data engineering programming/scripting languages (Python, Scala, SQL) for data preparation and analysis. Proven expertise with data visualization tools (e.g., Tableau, Power BI.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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As a Data Scientist, you’ll use your full toolkit – statistical modeling, machine learning, data mining, data visualization, and software engineering – to develop data products and models that are used by millions of users and power the growth of our business.
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We are currently seeking an experienced data engineer with 7 - 10 years with hands-on data engineering experience. Expertise with Tableau dashboard and data visualization design is a plus.
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Master’s degree in Mining Engineering, Geotechnical Engineering, or closely related engineering or scientific discipline and eight (8) years of experience in mine engineering or geotechnical engineering, including lead or supervisory experience.
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Preferred Software Skills: Proficiency with geologic mapping tools (Petra), rate transient analysis (Harmony suite), computer simulation (CMG), well log evaluation (IP), risk assessment (Rose suite), Data visualization (Spotfire, R.
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JOB SUMMARY FOR Data Modeler:This role involves applying quantitative and qualitative analysis to synthesize trends into actionable insights, delivering deep-dive analyses, and data mining using Alteryx.
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Knowledge of: The principles and practices of physical and historical geology; Engineering geology; geological formations associated with seismic hazards; geology as applied to civil engineering; the causes and prevention of land slippage and foundation failures; geological concepts as they pertain to planning and surface mining; survey, mapping, drafting, and photographic techniques as the apply to engineering geology.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Develops and prepares reports to support IEHP’s clinical and provider units utilizing available analytics and data mining tools, including but not limited to: Microsoft Applications (including MS Access), SAS, SQL, Crystal Reports, system-specific reporting tools (e.g., MedHOK, CRM,) or other related reporting software.
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Our groundbreaking technology offers growth opportunities in controls/mechatronics as well as related work on test bench development, data analysis and visualization, and modeling/finite element analysis.
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Advanced experience with quantitative analysis software (e.g., R, Stata), data visualization and mapping software (e.g., Tableau, Power BI, ArcGIS), and online survey software (e.g., Qualtrics) is required.
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The ideal candidate has 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc. 2+ years working with SQL and data visualization tools to query large data-sets (e.g. Presto/Trino, Spark SQL, Tableau, etc.
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Solid understanding of visualization tools, SQL, Python, Google Analytics and Campaign Manager (DCM) preferred. Manage data ETL to analyze the state of our clients' businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
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data mining engineering visualization jobs Title: data analyst Company: Keylent Inc
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