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The Walt Disney Company Direct to Consumer’s (DTC) Data Science team combines deep data analysis and research of our rich user data to present a compelling vision around user retention and preferences across the vast ecosystem of our product offerings and content.
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The CDS delivers asset level information strategies and services for optimal use and reuse of internal and external information that will advance research, development, and commercialization of the company portfolio and further precision medicine.
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Data Visualization: Develop advanced Dashboards in visualization tools such as Tableau/QlikView/Looker. Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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Master's or Ph. D. in Information Science, Library Science, Philosophy, Linguistics, Computer Science, or a related field with a focus on ontology engineering, knowledge representation, or semantic technologies.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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Guardian is seeking an experienced individual contributor with a strong background in LLM and Generative AI. Your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
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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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Quant UXRs vary in background and use skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
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Bachelor's in Information Technology, Management Information Systems (MIS), Computer Science, Engineering, or a similar field. Establish and ensure IT compliance with business continuity, disaster recovery and data backup and retention policies.
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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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About the Opportunity: Reporting to the President of World Science U (WSU) and Executive Director of Education, or in their absence, the Director of Education, the WSS program Manager oversees daily operations of the WSS program, working intimately with world-renowned scientists and coordinating with the WSF media team to produce and film high quality courses.
$89,000 a yearFull-timeExpandApply NowActive JobUpdated Today
data science information jobs Company: City Of New York in New York, Amarillo, Texas
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.
How to Get a W2 From Previous Employers
When tax time rolls around, the last thing you want to worry about is having to track down a W-2 from your former employer. Many times you won’t have to because the IRS requires companies to send these forms to all current and former employees who have earned more than $600 in the last year. Unfortunately, there are employers who don’t do what they’re supposed to. There are even times where something else may happen that prevents the W-2 from getting where it’s supposed to go.
How to Ask Someone to be a Reference + Email Templates
One part of the job-hunting process that frequently gets overlooked is putting together a list of good references. Most of the time we focus on creating the perfect resume, writing an awesome cover letter, and getting our hands on letters of recommendation. We think about what outfit we’ll wear to the job interview, how we’ll answer those tricky questions, and what our career plan looks like. But, in fact, having multiple references lined up who will speak favorably about you to a potential employer is critical to landing a job. This aspect of job searching really can’t be ignored.
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.
Structured vs Unstructured Interviews
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?
4 Ways to Make Your Job Posting More Inclusive
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