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Experience in Data Science and Machine learning, data mining and segmentation techniques. Experience with business intelligence tools, Enterprise Reporting and data visualization tools (PowerBI, Tableau, Qlik etc.
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Proficient interviewing techniques; the ability to coordinate the gathering, reporting, and dissemination of information to leadership and key stakeholders; data analysis skills (including ACL, SQL, Advanced Excel, Access, or other data-mining tools.
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Experience in data architecture including data modeling, data mining and data ingestion. The Data Engineer is responsible for designing and developing data delivery on our data warehouse on AWS.This data will be consumed by visual dashboards/reports that Sony Music Publishing teams use to better understand trends and insights to improve market share/songwriter deals.
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HDR’s Fire & Life Safety (FLS) team provides essential consulting and design expertise to a broad range of markets including: science/tech/labs, data centers/mission-critical, auditoriums/arenas, electric vehicle facilities, federal (DoD, NASA, VA, NPS, GSA), aviation, mining, power generation, hydropower, oil & gas, water/wastewater, and many more.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
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Design, implement, and optimize algorithms for predictive modeling, machine learning, and data mining tasks. Strong programming skills in statistical library friendly languages such as Python, R, or STATA. Experience with data manipulation libraries (e.g., Pandas, NumPy), machine learning frameworks (e.g., PyTorch, Scikit-learn), and database querying languages (e.g., SQL.
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The Senior Groundwater Modeler/Hydrogeologist will be responsible for developing and managing the technical scope of work and field investigations, data analysis, developing conceptual site models and groundwater numerical models, groundwater resource evaluations, open pit, and underground mine dewatering assessments and designs, and reporting to support the needs of mining clients in the US and abroad.
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Leidos is focused on finding the best people, processes, and tools that will provide solutions in data integration and fusion, data analytics, data mining, predictive analytics, data visualization, and decision support tools.
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We work with customers across the world in the light industry (institutional, food & beverage, manufacturing, transportation, textile care, and global high tech) and heavy industry (chemical, downstream, paper, mining, power and primary metals industries) to reduce, reuse, and recycle their water while protecting their systems and equipment.
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Expertise in data mining, forecasting, simulation, and/or predictive modeling. The Senior Business Intelligence Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.
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Statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
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Nalco Water providesthe unique opportunity to work with a broad suite of technologies to deliver automated monitoring systems, data analysis and deep technical expertise to increase efficiency, sustainability and performance for our customers.
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The candidate is expected to teach in one or more of the following areas: business analytics, business intelligence, big data analytics, knowledge discovery, managerial statistics, data mining/warehousing, or management science.
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Responsibilities will include, but are not limited to data management, data analytics, optimization of workflows, workover coordination, offset frac tracking, weekly and quarterly metric reporting, and data mining.
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Responsibilities include but are not limited to : Applies and integrates advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide the tracking and measurement of results.
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data mining jobs in Denver, CO
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