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Producing reports, plans, sections, and details as required to support mining operations. Provide assistance to Local Area Management and Site Superintendents by gathering field data on various systems and operations, as required, to support site development.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
$85,000 - $150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Prior data mining experience using enterprise systems (SAP or JD Edwards preferred). The Principal Data Scientist will be part of a talented team of data scientists and collaborate with financial analysts and cross-functional data, analytics, and enablement teams to improve decision-making within our corporate and business unit-focused finance groups and the business.
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This position will work in a team with other ‘in house’ geologists and mining engineers to produce 3D geological models and mine designs for evaluating the quality and quantity of reserves and resources at our aggregate and sand & gravel mines across the United States.
$80,810 - $111,110 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The MVL works to ensure that payers, PBMs, IDNs, and insurance companies understand the value proposition, clinical differentiators, safety, and efficacy of Karuna’s products by presenting relevant formulary information, as well as pharmacoeconomic and clinical data, to support formulary decision making.
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Must be proficient in the use of Carlson/Auto-Cad and/or other computer design programs and mining or earthwork software, as well as ArcGIS, Microsoft Word, Excel, and PowerPoint Excellent team skills and project management experience Accuracy and attention to detail Experience in preparing mine plans and supporting information and dealing with local, state, and federal agencies is strongly preferred.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards) A typical day in this role provides an opportunity to lead, challenge, and innovate by building creative, socially responsible last mile logistics solutions through large-scale data driven decision making.
$85,900 - $179,500 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Our U.S. Texas and lower central region Planning & Asset Management business has seen consistent growth driven by our clients needs to address challenges stemming from population growth, aging infrastructure, system reliability and resilience concerns, the need to improve operational efficiency, water quality regulations, integration of water and wastewater systems, and the use of big data to help guide decision making.
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If you possess a passion for leveraging data to drive informed decision-making, along with strong skills in building Workday calculated fields, crafting reports, and providing insightful analysis, this role presents an ideal opportunity for you to make a meaningful impact within the HR team at iHeartMedia.
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Minimum of 5 years of experience in quarry or sand & gravel mining operations. Bachelor's degree in mining engineering, geological engineering or similar preferred. Minimum of 5 years of experience in a supervisory/management role within the mining industry.
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Use data and insights to inform conclusions and support decision-making. Leading core Accounting areas including Performance Management (executive dashboards management reporting, planning, budgeting & forecasting, analytics & decision support); Record-to-Report (financial close, consolidation, financial reporting, Fixed Assets, Inventory, Payroll); Order-to-Cash (order entry, customer credit, invoicing, accounts receivable, collections); and, Procure-to-Pay (procurement, accounts payable, invoicing.
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Managing ETL and data ingestion/storage pipelines via data warehouses, graph DBs, and vector databases (i.e. Snowflake, Amazon Neptune, Airflow) Building Retrieval Augmentation Generation (RAG) systems via chatbot interfaces for data retrieval and insight summarization.
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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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Oversee data analysis activities, including data mining, trend analysis, and predictive modeling, to extract actionable insights and support decision-making. Design, publish and maintain Power BI data models with multiple interrelated tables which support both the visualization and analysis in Excel features.
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data mining decision support jobs Title: senior manager Company: Walmart in Irving, TX
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With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
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As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).