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The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
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Plan and execute educational programs for law enforcement agencies and other audiences on Snap's policies for reviewing and responding to legal data requests, as well as to drive greater safety awareness.
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Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. Snapchat is a camera and messaging app that connects people to their friends and the world.
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A passion for Snapchat and online safety! Advanced degree in criminal justice, political science, sociology, public administration, international relations, or another related area of study (e.g., a Juris Doctorate.
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Experience with Isolation, Trust zone authentication, Verity, Secure File system, secure memory and buffer management, Linux Security (SeLinux), Verity, root of trust, key generation, Key management, secure cloud, Biometrics, Cryptography, and/or HW/SW threat.
ExpandActive JobUpdated 28 days ago 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?
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DCJ also provides technical assistance to the Mayor's Office of Criminal Justice (MOCJ) of New York City to process administrative data and conduct criminal justice research, including data analysis, data engineering, and data science work.
ExpandActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The Data Scientist will be responsible for independently managing and executing projects of varying complexity, including creating actionable reports, algorithms, and models that will directly impact the development of new automation technologies.
Full-timeExpandActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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The ideal candidate is adept at using big data sets and applying machine learning and artificial intelligence techniques for analysis and prediction tools focused on environmental and meteorological applications.
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Experience in Big Data, search, NLP, and chatbot technologies such as Elasticsearch and Solr. The NextGen Core Brokerage Analytics team is looking for a Data Scientist with experience in Virtual Assistants or chatbots, Natural Language Processing/text analytics, machine learning, various deep learning related technologies, predictive and prescriptive analytics.
$150 - $200ExpandActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Preferred experience: Predictive analytics for Crop pipelines and insecticidal proteins, Sequence and structural bioinformatics, in vitro and in planta transgenic protein expression, analysis of HTP data from Omics, Mass-spec, ELISA etc.
ExpandActive JobUpdated 28 days ago 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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The Massachusetts General Hospital (MGH), an affiliate of Harvard Medical School and a world leader in research, is seeking a data scientist to work within its newly developed Neuroscience Data Science Center.
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Practical working knowledge in Python, R, Machine Learning, Data Science, Matlab Sickit, Regression Random Forest, KNN, etc. Job Description We’re looking for a Data Scientist who specializes in R, Snowflake, and Matlab.
Full-timeExpandActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Master's Degree in Computer Science, Statistics, Data Science or similar technical subject area with at least 2 years significant professional experience, Preferred specialization in Natural Language Processing (NLP) or Computer Vision.
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B.S./M.S./Ph. D. degree; life science, biochemistry, molecular biology, computational biology, bioengineering, computer science, data science, data engineering, or information technology.
ExpandActive JobUpdated 28 days ago How to Increase Job Ad Exposure
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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Based on the scope, either develop a new data science pipeline or contribute to an existing pipeline in concordance with standard coding practices, documentation, version control, CI/CD, unit testing etc.
ExpandActive JobUpdated 28 days ago
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