Metro’s Post

Hello Guys, I'm planning to launch a Business consulting firm under the name of 'Progazers' also the point of this post is to tell you guys that we are required for employees for the following roles: Data Analyst Cyber security Social media Manager Tax return filer Content writers Chat support providers if you're interested drop a comment 'I'm interested' and I'll send you the contact details. #hiring #employment #jobs #data #handling #openforjob #openforjobs #openforhiring #analysis #science #socialmedia #taxfiling #chat #everything #everyone

If you dislike class action lawsuits as much as I do, you will find this State by State guide very useful!

Current Job Market ❌ 🚩 Red Flags Alert: Don't Fall Into the Trap! 🚩 Before joining any company, watch out for these warning signs: 💸 Demanding Money: If they ask you to pay for training, materials, or even just to secure the job, it's a major red flag! 🕵️ Lack of Transparency: Beware of companies that are vague about job roles, responsibilities, or compensation packages. Transparency is key! 📉 Sketchy Reviews: Check online reviews from current and former employees. If there's a pattern of complaints about unethical practices, think twice! 📝 Rushed Contracts: Don't sign anything without thoroughly reading and understanding the terms. Watch out for clauses that seem unfair or unclear. To spread awareness about such scams, we have created a detailed 30-minute free course that will help you avoid getting scammed. Link in the comments below! #codebasics #dataanalyst #datascientist #data #Iamscamaware

Join Our Team at GrayMatter: Where Core Values Forge Exceptional Careers At GrayMatter, we're not just innovating manufacturing and critical infrastructure solutions—we're building a culture where exceptional people thrive. Our core values define us; they are the heart of our operations and the cornerstone of our success. We seek individuals who embody these principles to join our growing team. Why Build Your Career at GrayMatter? Accountability: We empower you to own your work and its impact on our clients. Integrity: Transparency and honesty aren’t just expected; they’re rewarded. Respect: Our team’s various thoughts and ideas are the blueprint of our innovation. Innovation: Push the boundaries of what’s possible in cybersecurity and operational technology. Teamwork: Collaborate with a team that's as supportive as it is pioneering. Shaped by a foundation similar to the scouting values of trustworthiness, loyalty, helpfulness, and kindness, our workplace is more than just a company—it's a community. Here, you're encouraged to treat others as you would like to be treated and to always follow through on your word. Making an Impact: Your role will directly contribute to resolving critical issues in cybersecurity, helping safeguard the manufacturing and critical infrastructure sectors. By connecting people with industrial assets, you'll be at the forefront of enhancing operational efficiency and resilience. Explore our current job openings and find out how you can make a difference at a company where values are more than just words—they're a way of life. https://lnkd.in/g-cTN6Ht #GrayMatter #CoreValues #OperationalTechnology #Innovation #Teamwork #industrialautomation #industrialcybersecurity

We make friends for one reason or the other and few of those are sharing our troubles and happiness. Now, a friend comes up to you to share an experience he/she had because he/she trusts you not to give out that information to anyone and then you did agree to not give the information to anyone. Unfortunately, you told someone about it and then your friend found out. Imagine how furious the friend is going to be. That act of yours could end that friendship causing that person to never trust you. This brings me to data privacy. As a data analyst when working with data (could be a client’s) you need to consider keeping its privacy either you’re told to or not. If you ever need to share that data seek permission from the owner and be sure that they’re fine with their data getting out. If you share their data or anything you worked on relating to that data without a go ahead then you’ve breach data privacy. This could get you a bad review, no recommendation (trust me recommendation works faster than your cv) and even loss of job. As a data analyst learn data privacy, it will save you from a lot of trouble. #dataanalytics #dataanalyst #dataprivacy #freelance #data

How to hire a spy. Interesting case statement for DEI How to hire a spy https://lnkd.in/gwEJweEY from The Economist https://lnkd.in/gwEJweEY from The Economist

You need information. Someone knows where it is stored. Great. They give you a link. NO ACCESS RIGHTS. Who can grant them? Are they available? When will they do it? It can take forever to get to a piece of information. 🐌 THIS WILL SLOW YOUR TEAM DOWN AND DEMOTIVATE But why are we so picky about access rights? Let's take a look at the 3 reasons and what we can do about them: 1️⃣ The Law(yers). Nothing to do here, dear engineers. This is a force greater than ourselves. 2️⃣ Malice. People are breaking or extracting things knowingly and willingly. YOUR hiring policy and skill hopefully gives you a trustworthy team, so that this should not be the main issue for locking data. What is? 3️⃣ Incompetence. It is too easy to destroy or change a piece of data WITHOUT others being made aware. Usually because there is some unclear button or lock or check-in, check-out strategy. Accordingly, we need to thoroughly vet everyone that accesses our data, train them, watch them, mentor them... Sounds exhausting? It is. 🏆 The solution? Give them a tool that is so easy to operate, that 3️⃣ is a problem of the past!

So many people are tired and bored of what they do... That's why sometimes, you check people's profiles and see lots of skills. Just for one person. I was scrolling through LinkedIn one day and came across someone's profile. This person was a data analyst, project manager, copywriter and was even transitioning into cyber security. I'm like "why so much confusion?". Although, I understand that it's okay to learn skills. But later on, I got to understand that we get bored of what we do sometimes and just want to try something new. Maybe we we're not getting desired results. Or you kept applying for jobs and you couldn't get an interview. You might have other reasons, who knows. But I want you to sit and think about this👇 The time and effort used in learning other skills, if I put them into one skill, wouldn't I be more productive? It took patience, consistency, and continuous effort from other people you admire to get to where they are now. Even when it seemed like nothing was working or nobody was seeing what they did. Let people know what you're for. Stand out in your field. Learn, talk and learn about your field/skill. Repost to help someone who. is bored or confused. P. S.: Thank God it's Friday 🥳 ______________________ My name is Miracle and I am Google certified data Analyst.

How can data scientists handle privacy concerns with sensitive data? Data scientists must handle privacy concerns with sensitive data by implementing appropriate measures to protect individual privacy. Here are some key approaches: 1. Data anonymization: Data scientists can anonymize sensitive data by removing or encrypting personally identifiable information (PII). This ensures that individual identities cannot be directly linked to the data. 2. Differential privacy: Differential privacy techniques add noise or perturbation to the data to prevent re-identification of individuals. This helps protect privacy while still allowing meaningful analysis. 3. Secure data storage and transmission: Data scientists should ensure that sensitive data is stored securely, using encryption and access controls. Data transmission should also be encrypted to prevent unauthorized access. 4. Access controls and permissions: Data scientists should implement strict access controls, granting access to sensitive data only to authorized personnel on a need-to-know basis. Role-based access controls and data usage agreements can help enforce these restrictions. 5. Privacy impact assessments: Before working with sensitive data, data scientists should conduct privacy impact assessments to identify and mitigate privacy risks. This involves evaluating the potential privacy implications and implementing necessary safeguards. 6. Compliance with regulations: Data scientists must be aware of and comply with relevant privacy regulations, such as the General Data Protection Regulation (GDPR) or the Health Insurance Portability and Accountability Act (HIPAA). These regulations provide guidelines for handling sensitive data and protecting individual privacy. By implementing these measures, data scientists can ensure responsible handling of sensitive data, safeguarding individual privacy while still deriving valuable insights for analysis and decision-making. Do you need help writing your resume/CV, cover letter or optimizing your LinkedIn profile? Contact me now. Let us do this! Visit my website: www.yourresumeexpert.com #resume #resumewriting #resumewritingservices #cv #cvwriting #cvwritingservices #linkedinprofile #linkedinprofileoptimization #jobsearch #jobopportunity #jobvacancy #jobinterview #jobsearching #careergrowth #careerdevelopment #careeropportunities #interview #softwareengineerresume #datascience #dataanalyst #computerscience #executiveresumes

Two weeks ago, OpenAI whistleblowers filed a complaint claiming that the tech behemoth had violated SEC regulations with overly restrictive NDAs and employment agreements. They alleged that these agreements prohibited employees from “communicating concerns to the SEC about securities violations, forced employees to waive their rights to whistleblower compensation, and required employees to notify the company of communication with government regulators”. These are serious allegations. Whistleblowers are one of the key accountability mechanisms for AI companies as there is no government enforcement of their voluntary commitments. Without them, AI companies may continue to deprioritize safety measures to meet ambitious launch dates. While the Center for AI Policy hopes that the SEC investigates these claims and acts accordingly, the fact remains that existing protections are insufficient. This complaint invokes Dodd-Frank and the Sarbanes-Oxley Act (SOX), which were designed to protect employees of public companies against retaliation for sharing securities violations or fraud with the SEC. These protections cannot be extended to employees of private AI companies. Even for employees of public companies, these whistleblower protections won’t cover them unless they can link concerns about AI safety to securities violations. Outside of SEC protections, some states have a ‘public policy exception’ which protects whistleblowers against termination for disclosures that are in the public interest. However, the definition of public interest is entirely at the discretion of the states and there is no guarantee it would encompass AI safety concerns. How can we expect whistleblowers to put their careers and livelihoods on the line for protections that are subject to interpretation? California’s proposed AI bill is a step in the right direction. The bill includes protections for whistleblower employees who report noncompliance with SB 1047, but, of course, these protections are geographically limited. The US needs dedicated, federal whistleblower protections for employees of AI companies who reveal safety, privacy, or other ethical violations. Given how far away federal AI safety regulation may be, it is critical that these protections are not limited to reporting illegal activity. We already have dedicated protections for sectors such as aviation, food safety, environmental protection, and mining. Dodd-Frank and SOX were both introduced in the last twenty-five years to address specific gaps in whistleblower protections. In both these cases, it took severe consequences for Congress to legislate, with the 2007-2008 Financial Crisis prompting Dodd-Frank and Enron’s corporate fraud triggering SOX. Congress should introduce federal whistleblower protections for AI employees today. https://lnkd.in/eYwj4qSd -- Claudia Wilson