Brookelyn Stickings (CertRP)’s Post

UPDATE: Criteria Corp is not hiring DA's, please read. LAST UPDATE: Due to the sheer volume of messages and emails (literally hundreds), I cannot keep up with this post's related requests anymore. I am truly sorry. I will not be responding to anything related to the below moving forward as of 06/12/24. If you or anyone know is looking for a #dataanalyst role, please reach out. I know people at a few different companies that are hiring for data analysts and data scientists. One is remote, the others are hybrid in socal area.

People Analytics

Data talents, you shouldn't do this when it comes to finding a new mission. I received over 100 messages from data professionals looking for their next gig. Most of these messages look the same: "Hey Duncan, I am a data [engineer, scientist, analyst] with X years of experience and skills in [tech stack]. Do you have something that can fit me?" This approach is not effective because hiring managers are looking for more than a list of skills; they seek someone they can trust to deliver results and integrate seamlessly into their team. To stand out, focus on two key aspects: 1/ Building Trust: Share specific examples of past projects and the tangible impact you had. For instance, instead of saying "I have 5 years of experience in data engineering," you could say, "In my last project, I optimized the data pipeline for a leading SAAS company, reducing processing time by 40% and saving $200K annually." 2/ Displaying the Right Skillset: Tailor your message to the specific needs of the hiring manager. Highlight relevant experiences and how your expertise can solve their unique challenges. For example, if a company is looking for a data scientist for their pharma division, mention your project where you developed predictive models for clinical trials, improving patient outcome predictions by 30%. Remember, getting a job = Building Trust + Skillset. Make your outreach count, and watch the opportunities grow. Or, if you're too lazy to do it yourself, I am currently recruiting for top data programs. Just send me a message

#hiring Senior Data Scientist, San Francisco, United States, fulltime #jobs #jobseekers #careers #SanFranciscojobs #Californiajobs #ITCommunications Apply: https://lnkd.in/gt2YB3v4 Hi, we're Brigit! A holistic financial health company helping every American build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others: Built In's 2023 Best Startups to Work For In New York City Fast Company's Most Innovative Companies of 2022 Forbes Fintech Business Insider's Most Promising Consumer Startups 2022 The Role At Brigit, we're focused on giving the 100M Americans who live paycheck to paycheck access to more affordable financial services and getting them on the path to better financial wellness. As a Data Scientist on our team, you'll be solving some exciting problems:Help more users to take out a cash advance by better analyzing their credit riskProviding gig economy users with access to cash advances in a responsible mannerOptimizing our funnel conversion to acquire better quality users and improve long-term LTVIncreasing credit limits of our users thereby increasing their retentionWe have access to rich, structured data that we can use to derive insights and build complex models. In addition to supporting broad analytics use cases when needed, you will work closely with our Product and Engineering teams. What you'll be doing Build, test, and roll out new underwriting and risk models to understand the risk of our customer base and improve access for our prospective customers by allowing us to take more calculated risks.You'll have ownership of the full modeling lifecycle and get to carry your changes all the way through to our decision process, getting to realize every bit of impact along the way.Build, test, and roll out other customer-related models

Hiring data scientists is hard. I've had many conversations with colleagues about how to separate the good from the great. Based on these, I've found several aspects that don't matter. Age, qualifications, and years on the job often mean nothing. The best method I've found is to give candidates a realistic problem to solve. Give candidates a problem, let them work on it, discuss their solution with them, and pay them for their time. Doing this when hiring data scientists for retail settings can be challenging, though. Actual transaction data is impossible to share for legal reasons, and there's a lack of realistic retail data on the Internet. So much of it has been so cleaned and aggregated that it bears no semblance of reality. At Data Simply, I am thrilled to announce the launch of our first tool out of a MUCH more extensive project. This will give you simulated retail transaction data with the characteristics of a real data set. If you'd like to strengthen your hiring process with realistic retail data, reply YES to this post or DM me. Special thanks to Dr. Robert Kübler for his help with feedback and code!

Great initiative -- I have so many thoughts! 1) Like Murray said, it's almost impossible to find public data sets that offer any resemblance to the "messy, dirty" data we see in real life (yes, even in companies making hundreds of billions of dollars in revenue, I can confirm). The ability to simulate the same "quirks" to test the competency of data scientists or data engineers is a huge advance. (Side note: if you have a tool / repo that offers similar capabilities, do let me know, I'd love to check and promote anything that sounds promising). More in the comments below.

Do you have tech recruiters or managers that understand your business's tech needs? Not having them might be doing your business a disservice. Let's say your business specializes in finances and you decide to hire a data analyst with 5 to 10 years of experience analyzing large data, but zero experience with financial data. This candidate may meet all your other qualifications, but lack of experience with financial data could be a roadblock. The keyword is still data, whether it's financial, marketing, medical, or anything else. The only thing to learn is the terminology. How you analyze and manipulate it will be based on the business rules, data governance policies, and scope of the project. #techrecruiters #dataanalyst

When searching for a Data Analyst, it is important to identify the key factors that will ensure the right fit for your team and goals. But what are these factors? Here are the key elements to take into account when hiring a data analyst. If you cannot afford to hire a full-time analyst, consider the option of nearshoring. We can give you access to top talent at an affordable price. Get in touch with us. #TechRecruiting #StaffAugmentation #Nearshoring #TranslatingTechIntoSuccess

🚨🚨 Time’s to make a change… Lago – Open-Source Usage Based Billing Is Hiring a Data Scientist (EU-Based)🚨🚨 Ready to level up? Apply now. Lago – Open-Source Usage Based Billing Is Hiring a Data Scientist (EU-Based) https://ift.tt/ocTgrCS I offer #resume services and #interview prep support, so let's skip the excuses. Click the link to book a slot on my Calendly before it fills up! https://ift.tt/nCbGhM1 If you know someone who would fit the role, let's get THEM #hired. Tag them in the comments and share the post to your connections! *Note: I am not hiring or sourcing for this role. If you are interested in applying, please do so through the link in the post.

Okay, this is seriously funny. 😂 If you're in the data or tech space, you might enjoy this as much as I did! If you're not, consider data analytics as a potential career path... (it’s easy). Big shoutout to the hilarious Elijah Butler 📊. For anyone interested in all things data analytics, check out Alex Freberg's Analyst Builder! (That's serious, though) (and great!) #DataAnalytics #CareerAdvice #BreakingIntoAnalytics #DataScience #JobTips