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The Department of Data Science (DS) at New Jersey Institute of Technology (NJIT) seeks candidates to fill Adjunct Professor positions. Adjunct Instructor - Data Science. Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred.
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2+ years relevant work experience in applied data analysis for social science or public health research or policy advocacy. Masters degree in social science or public health field such as epidemiology, econometrics, health services research, health informatics, sociology, criminology or other related quantitative/computational discipline.
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Preferred: Currently enrolled in college courses in Digital Forensic Science, Computer Science/Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years of work experience in computer hardware, network administration, or cyber-crime investigations.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Ability to migrate the Data Science models written on native python language to the multi node Databricks compute. Qualifications and Skills IT professional experience in Azure Cloud with over 5+ years of Azure Development Ability to recreate existing legacy application logic and functionality into Azure Databricks/Data Lake, SQL Database and SQL Datawarehouse environment.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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We work alongside product teams across MI ES on break-through ideas using tools and techniques spanning the entire spectrum of Data Science, Statistics, Machine Learning, Deep Learning, NLP, Gen AI, Operations Research, Data and Machine Learning Engineering.
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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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Quantum Applications Scientist required to work with a leading quantum start-up focusing on using near-term quantum hardware to develop quantum solutions in verticals ranging from, machine learning, operations research, data science, chemistry, and more.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Bachelor's degree in Information Management, Library Science, Legal Studies, or related field; advanced degree or professional certifications (e.g., IGP, CIP, CRM, CIPP) is a plus; As an Information Governance Data Specialist, you will work in a dynamic, collaborative environment, maintaining the integrity of our records management application (RMA) while playing a pivotal role in managing both physical and electronic records for preservation and disposition.
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At minimum, a Bachelor's degree in Chemistry, Biology or related science with a strong background in DMPK and BA including knowledge of the FDA GLPs. Assist with quality review of DMPK reports that are generated by DMPK scientists by fully reviewing the raw data outputs/electronic notebooks and ensuring validity and quality of reported data in the reports, in addition to reviewing DMPK regulatory documents, editing of nonclinical study reports for regulatory acceptance and adherence to company templates, SOPs, DMPK/BA methods, work practices and FDA GLPs, as applicable.
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4 years of experience in data analytics or related field role (e.g., management consulting, investment banking, strategy and operations, advances analytics, data science or similar role.
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The ideal candidate has in-depth understanding of the measurement of ATL on key brand metrics (e.g. TOMA, consideration, purchase intent and selected image dimensions) and ROI/ROAS. They are experienced in working with Analytics and Data Science Teams to improve our ROI/ROAS measurement in the ATL space (MMM, set top box measurement, etc.
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We are currently looking for a Microbiology Lab Technician available immediately to work under the guidance of a science team passionate about making science accessible to high school and college students.
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data science jobs Company: Zoom in Newark, NJ
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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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The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
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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.
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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.