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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Study complex data related to donors, listeners, demographics, and psychographics, giving, pledging, website usage, streaming media, social media, contacts, and any other available data, using data mining, data modeling, machine learning and predictive analytics and other techniques, seeking out useful, actionable information, both positive and negative, reporting findings to management.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Proficient with Data mining/programming tools (e.g.? Data visualization (e.g. Tableau, Looker, MicroStrategy.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Excellent understanding of data mining, predictive modeling, and data visualization. Hands-on experience with big data technologies and cloud (Databricks / Spark, Azure/AWS/GCP.
$65,500 - $108,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a CleanSpark team member, you'll be at the forefront of the global bitcoin revolution, shaping the future of responsible mining. Experience: 1 year of technical experience in a bitcoin mining facility, plus 6 months of shift lead / supervisory responsibilities.
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Directs the day-to-day activities to ensure objectives are met: manages, through subordinate personnel, the various operations associated with mining, processing, stockpiling, loading, and shipping of quality aggregates.
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Bachelor’s Degree in an Engineering Geology, Geology or Mining/Geotechnical Engineering discipline with 4 or more years of related experience. The selected candidate will have experience in drilling, core logging, mining, tunnel construction and design, trenchless technology, rock mass characterization and intelligence analysis skills.
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Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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Komatsu supports a myriad of markets, including housing, infrastructure, water, pipeline, minerals, automobile, aerospace, electronics and medical, through its many brands and subsidiaries, includingTimberPro, Joy, P&H, Montabert, Modular Mining Systems, Hensley Industries, NTC, and Gigaphoton.
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Prefer 7 years of experience in data analytics cycle (data gathering, transformation, mining, modeling, analytics, and reporting) using data analytics tools like SAS, Alteryx, Tableau, PowerBI, SQL, R, Python and/or ACL. Strong knowledge and experience with traditional and cloud database technology (e.g. SQL, Snowflake, and/or Azure) and an advanced understanding of data warehousing, data flow and handling.
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Demonstrates advanced statistical capabilities, data mining, forecasting and predictive modeling skills, and/or actuarial techniques. Prepares, develops, analyzes, shapes and delivers reports in an accurate and timely manner that ‘tell a story’ including but not limited to health plan cost and utilization trends, monitoring effectiveness of care management programs, clinical variation and data mining to find potential opportunities to better control costs and utilization, as needed.
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The Developer will have responsibility for a platform for advanced sensors in the mining industry, including computer vision with deep learning, and digital signal processing on accelerometer and vibration sensors.
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Publications or presentation in recognized Machine Learning and Data Mining journals/conferences is a plus Good to have SAS, R, KNIME, Matlab Experience with data visualization and business intelligence tools like Tableau Modeling experience in card industry or financial service company using for fraud, credit risk, payments is plus Proficiency in designing & solving classification/prediction problems using open-source libraries.
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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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data mining jobs Title: financial analyst Company: Citrix Systems
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