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4) Proficiency in Structured Query Language (SQL), data modeling, and experience with BI tools such as Tableau and Power BI. AND (5) Experience with data mining, data manipulation, and statistical analysis techniques using tools like Excel, Python, or R.
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Supervise and coordinate the activities of mining personnel, including shotcrete, drill, shoot, and concrete operations. Oversee the setup and operation of mining equipment and machinery.
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Preference will be given to candidates who are familiar with data governance and data security technology solutions Preferred Qualifications- Certifications such as CIPT, CIPM, CIPP, CISSP, CRISC, etc.
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The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model using technologies such as Python, SAS, or R. Strong candidates will explain various methods you have applied using common pre-processing functions such as stop word removal, stemming, lemmatization, and tokenization.
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Familiarity/experience with various data formats including database specific (Oracle, SQL Server, DB2, Quickbase), text formats(CSV, XML) and Binary(Parquet, AVRO) Strong knowledge of Extraction, Transformation and Loading (ETL) processes using frameworks like Azure Data Factory, Synapse, Databricks, Informatica by gathering requirements from the stake holders or analyzing the existing code and perform enhancements or new development.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information.
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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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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Its practice areas include life sciences, energy, telecommunications, media and technology, mining and metals, financial institutions, industrial and manufacturing, private equity, real estate, hotels and leisure, retail and consumer goods and infrastructure and transport.
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Roles include data entry clerk, customer service agent, nurse or medical assistant - just choose what suits your skills best and start earning! This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Benefits Summary Top Benefits and Perks: Minimum Qualifications: Education:Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience and education.
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Direct experience with CFTC registration process for DCM or SEF. Data Management - understands concepts of data quality control and data lineage. Deputy Chief Compliance Officer for CFTC Regulated Exchange Posted on May 28, 2023 Apply for this job Your email: Upload resume: Profile AIEX offers an exciting career opportunity that mixes politics, events, business, finance, and technology.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Education and Experience:BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others, in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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data and mining jobs Title: science in Hyattsville, MD
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