Webiz International ’s Post

Hi there, we're looking for a Data Engineer. And although things have changed a lot - for the better by a significant margin - I'll use the same pitch as last time. We have great benefits, an awesome office with all the perks, including beer, amazing colleagues, nice career progression, budget for learning including conferences, top-notch hardware, etc. But everyone else provides exactly the same, so why us? The short answer is because we offer something won’t find elsewhere: FREEDOM. Yes, we are a huge financial institution, from which you’d usually expect tons of red-tape, but this time we got you. Our team is pretty much like a start-up inside an incubator, or like working for a huge angel investor that is also a customer. Do you wanna use this or that stack? Go for it. Do you have an innovative solution in mind for a given problem? Count on us. Do you have an idea for a product that will reach a few million users? Let’s build it. Do you want to generate insights from a humongous amount of data? Let's see it. Do you know what to do and where to go? We are following just behind you. Seriously, if FREEDOM + RESOURCES + IMPACT is enticing for you (and if it’s not, please think again), let’s chat asap. #absa #absagroup #absaprague #dataengineering #mlops #etl #databricks #banking #fintechs #datascience https://lnkd.in/e-c3-G88

which is best data scientist 🥼 or data analyst

🌟 We’re Hiring: Sr. Data Engineer! 🚀 Join a pioneering financial services company that’s redefining homeownership through innovative, data-driven solutions. As a Senior Data Engineer, you’ll design and build scalable data pipelines, transform complex datasets, and ensure the reliability of our data infrastructure. 🔗 Apply now and be part of a data-driven team shaping the future of homeownership! Link in the first comment

#Hiringalert Jar is hiring for Data Scientist Skills Required: Credit Risk Prediction and Risk Modeling: Highlight your experience in developing and implementing credit risk prediction models. Discuss specific projects where you applied risk modeling techniques. Mention any innovative solutions or methodologies you used to enhance risk prediction accuracy. Machine Learning: Detail your experience with machine learning, especially in the context of lending solutions. Share insights into the types of ML models you have developed and their real-world applications. Discuss any cutting-edge experiments or projects you have worked on involving ML. Data Science Experience (3+ years): Highlight your overall experience in data science, focusing on your contributions and achievements. Discuss your proficiency in handling large and unique datasets. Mention any notable projects or roles that demonstrate your expertise. Python or R: Emphasize your proficiency in Python or R, particularly for data analysis and machine learning. Share examples of how you have used these programming languages to develop ML models or conduct data analysis. Discuss any specific libraries or frameworks you have utilized. Blog Ideas: Enhancing Credit Risk Prediction with Advanced Modeling Techniques: Share your journey and experience in credit risk prediction. Discuss specific models and techniques you have used to improve prediction accuracy. Applying Machine Learning to Lending Solutions: Highlight the role of machine learning in the lending industry. Provide insights into real-world projects where you developed ML models for lending solutions. Leveraging Python/R for Data Science in Lending: Discuss your experience using Python or R for data science tasks. Share examples of how these tools have helped you in developing effective lending solutions. Example Blog Titles: “Revolutionizing Credit Risk Prediction with Machine Learning” “Developing Robust Lending Models with Python” “My Journey in Data Science: From Datasets to Lending Solutions” By writing blogs on these topics, you can effectively showcase your skills and experience, making you a strong candidate for the Data Scientist role at Jar. Share your skills on Eyse for faster discovery by recruiters- https://lnkd.in/dQsUYc59 #DataScientist

Hi, I hope you are doing well, Job Description Job Title: Data Scientist Worksite: Hybrid Onsite Houston TX Must be local to Houston, TX MOI: Skype / Final may be onsite  Must have LInkedin E: jparashar@vyzeinc.com   Must Have Education and Experience Experience: 5+ years’ experience in data science building and deploying models into production Technical Skills Programming: compose clean, efficient, and reusable code in Python and/or R. Machine Learning / Modeling: understand what types of algorithms to use, their benefits and drawbacks, and how to implement them. Data Wrangling: write efficient SQL queries from scratch that blend data from a variety of sources in the right form for modeling, analysis, and scoring.  

Hi, I hope you are doing well, Job Description Job Title: Data Scientist Worksite: Hybrid Onsite Houston TX Must be local to Houston, TX MOI: Skype / Final may be onsite  Must have LInkedin E: jparashar@vyzeinc.com   Must Have Education and Experience Experience: 5+ years’ experience in data science building and deploying models into production Technical Skills Programming: compose clean, efficient, and reusable code in Python and/or R. Machine Learning / Modeling: understand what types of algorithms to use, their benefits and drawbacks, and how to implement them. Data Wrangling: write efficient SQL queries from scratch that blend data from a variety of sources in the right form for modeling, analysis, and scoring.  

We’re hitting the accelerator on our data transformation plans! 🏎️ Please get in touch with Rachel Watson to learn more about joining the Data & Insights function at Tes. #data #analytics #dataengineering