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Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL). Strong knowledge of data visualization tools (e.g., Power BI). Work with IT and data engineering teams to ensure data quality and availability.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are seeking a skilled and motivated Drilling & Completions Data Scientist to be an integral part of the team focused on unconventional reservoir development in our newly formed US onshore division.
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You will join a growing and energetic team supporting environmental projects in the Rocky Mountain region of the U.S. Support field work for Federal and Private clients and provide technical support to a long-term U.S. Environmental Protection Agency contract in the areas of site investigation, Brownfields redevelopment, removal assessment, data management, and emergency response.
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Preferred skills of a Data Scientist, including proficiency in data analysis tools (e.g., Python, R) and machine learning techniques. Ensuring the reliability and accuracy of demand planning tools, setting standards for system parameters, settings, and data maintenance.
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This is an exciting opportunity to be the first Data Scientist at a rapidly scaling company and work closely with our CTO and VP of Product. As our first Data Scientist, you will have the opportunity to shape our AI strategy from the ground up.
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Identifying avenues for process improvements, enhancing data accuracy, and optimizing demand planning methodologies. Leading unconstrained and constrained forecasting: gauging potential market demand and adjusting for real-world limitations like production capacity and supply chain constraints, using data analytics and historical sales trends.
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The Research team at Intermap creates, maintains, and supports critical production systems and automated solutions enabling customers worldwide with fundamental remote-sensing, machine-learning, and Geomatics solutions and products on the foundation of high-resolution elevation data.
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Responsibilities Collection of water samples from lotic and lentic environments Operation of GPS and electronic data collection devices Operation of Flow Tracker flow meters and other stream discharge measurement devices Operation and maintenance of water quality meters Collection of groundwater samples using bladder pumps, peristaltic pumps, and bailers Collection and characterization of mine waste Collection of biota samples (vegetation, fish, birds, invertebrates, etc.
$45,000 - $55,000 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Work experience as a Data Scientist, Systems Analyst, or Data Engineer preferred; open to entry level experience. We’re seeking an experienced data scientist to deliver insights daily.
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The diversity of experience available within Spectrum’s Product and Technology team is unmatched and there are opportunities to grow your career as a designer, architect, engineer, developer, operator, or data scientist.
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5+ years of professional experience working in quantitative analysis in A/B testing and crafting data visualization dashboards in Tableau, Looker, or equivalent technology. Collaborate cross-functionally with data science, data engineering, and instrumentation teams to contribute to sophisticated models data pipelines, and instrumentation, and build testing roadmap.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Principal Data Scientist is a highly motivated and experienced individual proficient in advanced machine learning models, particularly language models, document understanding and analysis, and code generation.
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Dr. Moore is a physician-scientist with training in Nutrition and Obesity Medicine and is excited to welcome a part-time (0.5 FTE) Clinical Sciences Professional to the team. Work directly with the principal investigator, Dr. Moore, to complete essential study startup tasks including co-development of standard operating procedures, participant materials, REDCap database creation for data collection, OnCore set-up for clinical trial management, and coordination with partners on the CU Anschutz medical campus in preparation for planned study procedures.
$23,871 - $30,364Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and toolsBuild actionable KPIs, create production-quality dashboards and notebooks to convey insightsDefine and advance best practices within an experiment-driven cultureInform product engineering roadmap through analysis of marketplace, user behavior, and product trendsAbout You.
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The Data Scientist is responsible for developing tools to collect, clean, analyze and manage the data used by strategic areas of the business. ○ Big data frameworks (TensorFlow, Caffe, Spark, Hadoop, Azure AI Stack.
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