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ORA Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field is preferred but not required. Degree in Arboriculture, Forestry, Horticulture, Plant Science, Landscape Management, Environmental Science or a related field OR prior experience working in the tree care industry is preferred but not required.
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Advanced degree (e.g., Master's, PhD) in a quantitative field, such as Economics, Mathematics, Statistics, Actuarial Science, Data Science, Engineering, Computer Science, or Related Field with Core Quantitative Curriculum and 6 years of related work experience in model validation, model development, statistical analysis, and/or advanced quantitative research.
$158,960 - $303,830 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary.
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Bachelor's degree or graduate education in meteorology, atmospheric or environmental science, environmental management, urban planning, GIS, environmental engineering, or related field. In this role, with your strong understanding of climate science, climate adaptation and mitigation practices, and risk and vulnerability assessments, you will lead tasks, teams, and projects for adaptation planning, climate action plans, risk assessments, hazard mitigation planning, and related support to provide exceptional deliverables, achieve client satisfaction, and maintain profitability for the projects we execute.
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Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word.
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7+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering. Bachelor’s degree or equivalent education and related training or experience and 5+ years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering.
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PhD preferred with a degree in biomedical engineering, chemical engineering, polymer science, or a related discipline; Master's degree in biomedical engineering, chemical engineering, polymer science, or a related discipline required for consideration.
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BS degree in one of the following preferred: Data Science, Computer Science, Software Engineering, Software Development, Programming & Software Development, Computer Science, Computer Systems Engineering or Industrial.
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Bachelor's degree required in policy, law, economics, engineering, or basic/applied science (such as physics, chemistry, material sciences, environmental science, earth sciences, etc. For the Managing Consultant, Corporate Sustainability & Climate Change (Senior Level) position, we anticipate the annual base pay of $90,000 - $109,180 (USD.
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Superior knowledge of emulsion polymerization, polymer science & physics, and intimate knowledge in the coatings & adhesives for Construction and Nonwoven markets and customers. Ph. D. degree in polymer or material science, chemical engineering, organic chemistry or a related field.
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Opportunities to advance into data engineering management or data science roles. Bachelor’s or master’s degree in Computer Science, Engineering, or a related field. Knowledge of data lake and data warehouse solutions, including Databricks, Snowflake, Amazon Redshift, Google BigQuery, Azure Data Factory, Airflow, etc.
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Associate’s Degree in Criminal Justice/ Law Enforcement Technology, Political Science with a minimum of four (4) years of experience in the intelligence field with proven ability to handle multiple projects.
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Common areas of study include but are not limited to: Finance, Economics, Mathematics, Computer Science, Statistics, Process and Mechanical Engineering, Operations Research, Data Science, Accounting, Business Administration, Audit Management, Risk Management.
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science job Company: Kpmg Us in Charlotte, NC
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When Rage Applying Strikes: How to Identify Unserious Candidates
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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If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.