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M&A is currently seeking a full-time hydrogeologist with groundwater modeling experience to support our mining clients in the western United States. Graduate degree in hydrology, geology, or a related field of study; course work in hydrogeologic data analysis, groundwater modeling, and computer programming preferred.
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Exposure to data analytics and data mining tools/applications such as Tableau, QlikSense /QlikView, R or SAS. Programming experience with Python, Python Pyspark or Java development for modern data engineering.
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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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Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data- oriented programming languages (Python, R) and visualization software such as Qlik. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
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Utilize advanced data mining and/or statistical techniques to develop analytic insights, sound hypotheses, and informed recommendations. Lead projects/teams in providing innovative, thorough, and practical solutions that support business strategies and initiatives and in conducting or assessing ad hoc quantitative analyses, modeling, or programming using Stata, SAS, R, Python.
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Looking for hands-on data scientist and strong Python coding skill is critical, much higher priority than NLP, IoT or Deep Learning. Candidates must have deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling and experience applying these methods to real world problems.
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Coursework, research or experience modeling using Stata and R, and performing advanced economic and econometric/statistical analysis including regression, time series, panel data, discrete event, economic optimization, and stochastic and dynamic general equilibrium models.
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4+ years of experience covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Drive business impact by identifying and acquiring or mining data from multiple and diverse sources for actionable insights (including digital session web data, Salesforce and other CRM/CDP/IAM platforms, Google Analytics and Google BigQuery, etc.
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Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discovery.
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Java, Python, ScalaExperience in Natural Language Understanding, Computer Vision, Machine Learning, Algorithmic Foundations of Optimization, Data Mining or Machine Intelligence (Artificial Intelligence.
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Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support novel therapeutic target identification and disease biomarker discovery.
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Applying artificial intelligence, machine learning, and data mining techniques to national security-relevant problems. Statistical analysis of national security data (with proficiency in R, Stata, Python, SAS or other statistical analysis software.
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Applies core data science techniques such as machine learning, statistical learning, data mining, data wrangling, data discovery, model training/testing, and model deployment/monitoring to solve DLA business problems.
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