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As a Data Science intern on our team, you'll be working on various algorithms and using Natural Language Processing (NLP) methods to work on some of our most interesting problems using expertly curated datasets.
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Experience with Data Science including AI/ML Engineering, ML framework/pipeline build and predictive/prescriptive analytics on Aws Sagemaker. ~ Proven experience developing and maintaining data pipelines and ETL jobs using IBM DataStage, Informatica, Matillion, FiveTran, Talend or Dbt.
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We are looking for an exceptionally awesome Associate Director, Data Science, to join our team here at ROI•DNA. This position reports to our Associate VP, Data Science & Behavioral Analytics.
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Applies knowledge of hydrometeorological data science, including that of emerging research, to advise on business decisions and program directions. Graduation from an accredited four-year college or university with major coursework in Atmospheric Science, Climatology, Meteorology, Hydrology, Computer Science, Statistics, Data Analytics, or a related field.
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The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science.
$16.2 - $28 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Minimum Qualifications Graduation from an accredited four-year college or university with major coursework in Atmospheric Science, Climatology, Meteorology, Hydrology, Computer Science, Statistics, Data Analytics, or a related field.
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Job Description: The Role We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities.
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Physics, Computer Science, Mathematics, Chemical Engineering, Materials Science, Mechanical Engineering, Electrical Engineering, Data Science. Have direct experience in one or more technical fields: optical metrology, data analysis, lasers, detectors, electro-mechanical and electro-optical devices, electronics, mechanics, material science.
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Minimum of 3+ years of experience in data science with a focus on machine learning, deep learning, computer vision, NLP, and Spark. Utilize machine learning, deep learning, and other data science techniques to design, develop and optimize algorithms that drive data insights and product performance.
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Department of Surgery (DOS, at the University of Minnesota is seeking one research scientist to join a team working on multiple research projects in the field of health data science, artificial intelligence and natural language process in the Division of Health Data Science (HDS) at the DOS. The position is an annually renewable professional academic appointment.
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Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data. · Experience applying data science techniques to environmental science and/or weather-related challenges.
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You will be responsible for overseeing our laboratory science team focused on building novel datasets of food analytical chemistry data generated from mass spectroscopy instrumentation. Leading laboratory management, including oversight of data collection, analysis, troubleshooting, and maintenance and technical oversight of chromatography and mass spectrometry instruments (GC-MS, LC-MS, ICP-MS.
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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
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Master’s degree in Survey Research/Methods, Statistics, Biostatistics, Epidemiology, Public Health, Mathematics, Data Sciences, or other relevant statistical or social science field.
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Director of Data Science & AI Research Chemistry. The AI & Computational Science (AICS) team at Novartis Biomedical Research is dedicated to revolutionizing drug discovery through AI. Our mission is to accelerate the development of transformative medicines for patients worldwide.
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data science jobs Title: research associate Company: Iqvia Holdings
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The Effects of Workplace Racism and Sexism
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?
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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In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
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Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.