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Proficiency in data mining, data engineering, statistical tools, and development in Python, R, SQL, SAS, Java/C#, or similar. Conduct research, analysis, and/or predictive modeling to provide data-driven insights, advice on industry standards and best practices, and technology forecasts and roadmaps.
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The AI Systems team within HP Workforce Experience Platform team is seeking a forward-thinking Data Scientist who is passionate about driving innovation at scale, solving real-world customer issues through AI/ML and delivering stellar customer experiences using one of the largest data lakes in the world.
$211,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Archon Resources is currently looking for a Principal Data Scientist to join one of our clients located in Tulsa, OK. This is a Direct Hire opportunity. As the Principal Data Scientist, you will be responsible for designing and implementing advanced analytical models and algorithms to extract valuable insights from large and complex datasets, enabling data-driven decision making across various business functions.
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Licensure, Registration and/or Certification: Must have passed national certification exam as a laboratory scientist that is accredited by an approved agency. Performs and reports analytical tests, integrating and relating data generated by various clinical laboratory departments while making decisions regarding possible discrepancies.
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Assist principal investigator and research scientist with writing methods and summarizing/organizing data to be used in preparing and presenting presentations for professional, scientific, and academic conferences and submission to academic and scholarly peer-reviewed journals.
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6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
$179,900 a yearFull-timeExpandUpdated 30 days ago - UpvoteDownvoteShare Job
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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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At Vital Energy, you will be more than just a Data Scientist. AWS Mastery: Deep expertise in the AWS cloud platform, especially the services relevant to data science such as SageMaker, Redshift, EMR, Kinesis, and Lambda.
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As a Senior Battery Scientist, you will be responsible for conducting research and development activities related to battery technologies. This is a full-time on-site role for a Senior Battery Scientist at Ten-Nine Technologies located in Tulsa, Oklahoma.
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The Business Data Scientist is responsible for creating models, generating insights, and developing advanced analytical models using machine learning and AI tools. Preferred: Master's Degree in Business Administration, Data Science, Information Technology and five (5) years' work experience in data science and/or business intelligence developer and/or natural gas fundamentals modeling.
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Resilience data analysis including use of statistics, GIS, visualization etc. Freese and Nichols, Inc. is currently seeking to add a Resilience scientist to our Tulsa or Oklahoma City, OK office.
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With regard to protocols: documents statistical methods sections, performs power analyses (sample size determinations), plans data collection and interim monitoring, and reviews all methodology to reduce bias and increase reliability, validity and data security.
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FEATURED BLOG POSTS
5 Common Interview Mistakes
Everyone's interview process is unique in some form or fashion. Like most, your interview process is crafted so you can get the most information out of your candidates to increase hiring confidence and make the right hiring decisions. However, there are often small problems in interview processes that could ultimately affect the success of hiring decisions.
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Job Rejection Email Response with Examples
Glassdoor estimates that, on average, there are about 250 applicants for every job vacancy out there. If you’ve ever applied for a job, the odds are that you’ve received the dreaded job rejection email.
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The goal of an interview is to evaluate candidates based on their skills, personality, and knowledge. You want to choose the BEST candidate from your candidate pool, so the interview is something you can't mess up. As you begin planning your interview process, one of the major decisions you'll face is whether the interview should be a structured vs unstructured interview. So let's take a dive into the differences and sort out which circumstances warrant which interview process.
How to Describe Your Personality with Examples
Imagine you’re in an elevator with the CEO of your dream company and you get to talking. The conversation is going well and you start to imagine yourself working for their company when the CEO turns around and asks you “tell me a bit about yourself.” Would this catch you off guard or would you be able to give a clear and succinct description of who you are?
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To ATS or not to ATS
As hiring is becoming more analytical and data-driven, companies have found ways to incorporate technology to help hire and recruit more efficiently. ATS, also known as an applicant tracking system, has become one of the most widely adopted technological recruiting tools to date. In fact, according to data from Capterra: