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Data Science

2 Interview Questions for Vetting Data Science Candidates

As artificial intelligence and machine learning technologies continue to boom, the search for proficient data scientists has become increasingly difficult as you try to evaluate – or even locate – the ideal candidate. This translates to a potential increase in the time and financial resources expended in recruiting for these roles. To avoid squandering both time and money, it is critical to ensure that you’re selecting the right data scientist for your organization. Repeating the hiring process multiple times is undeniably an unwise utilization of both time and resources.

Announcements

Interactive, Hands-On Code Challenges on LinkedIn Learning & CoderPad

CoderPad is on a mission to create a more inclusive and strong tech community. Since our inception, we’ve focused on building a technical hiring platform that lets companies standardize their interview process and evaluate candidates based on their skills. With the advances in AI and tech, these skills are changing fast. So today, we are excited to announce the launch of Code Challenges on Linkedin Learning, powered by CoderPad . Aspiring and seasoned developers can now take over 30 + coding courses in Python, Java, SQL, JavaScript, C#, and Go in an interactive environment that provides real-time feedback. With Code Challenges, learners can stand up generative AI models, cut their teeth on advanced JavaScript, solve real-world data problems, and more.

Hiring Developers

What? You Haven’t Yet Standardized Your Tech Hiring Process? Follow These 4 Steps

In our recent webinar on efficiency in tech recruitment , we talked about how a standardized recruitment process can reduce bias, improve quality of hire and elevate candidate experience. We were thrilled to have Jenny Jongejan on the panel. She’s a Senior Recruiting Consultant with 17 years of Talent Acquisition experience. Jenny has worked extensively with Bay Area startups, enabling efficient, well-documented, standardized hiring processes.

Announcements

CoderPad Announces Integration of Jupyter Notebooks to Elevate Data Science Interviews that Replicate Everyday Work; Strengthen Hiring Decisions

Hiring teams now have more support to evaluate candidates’ analytical, technical and communication skills SAN FRANCISCO, Sept. 12, 2023 — CoderPad today announced it has added support for four types of Jupyter Notebook, Minimal, R, TensorFlow, SciPy, to further its work on bringing more real-world interviewing to teams and to uplevel the interview process for data science candidates. Hiring teams can now create tailored interview questions for both live interviews and take home projects that reflect real-world scenarios to better assess candidates’ skills.

Data Science

Mastering Jupyter Notebooks: Best Practices for Data Science

Ah, Jupyter Notebooks—a data scientist’s trusty companion, as reliable as a warm croissant in a French bakery. If you’ve ever dipped your toes into data science, machine learning, or even scientific computing, chances are you’ve encountered a Jupyter Notebook. These powerful tools have become ubiquitous for good reasons: they blend code, narrative text, equations, and visualizations in a single document, making data storytelling a breeze.

Announcements

CoderPad Partners with NachoNacho

CoderPad today announced its partnership with NachoNacho , a one-stop-shop for businesses to manage, discover and save on all their SaaS products. NachoNacho is the world’s largest B2B SaaS marketplace. Partnering with NachoNacho will allow new companies to discover CoderPad’s products and ultimately make their technical hiring processes faster, fairer, and more real. “Partnering with NachoNacho represents an opportunity for a new group of companies that are hiring developers to find and benefit from our tools. The more companies that uplevel their hiring process with CoderPad, the closer we will get to achieving our mission of creating a more inclusive and strong tech community,” said Arpan Jhaveri, VP Marketing at CoderPad.

Product Updates

CoderPad August Releases

Easily customize your test questions in CoderPad Screen and run improved whiteboard sessions in CoderPad Interview. Also, read on for a sneak peek at Jupyter Notebook and enhanced versions of our backend language pads. CoderPad Interview Updates Enhancements to Drawing Mode Our virtual whiteboard tool just got a complete overhaul – with a new UI, the ability to easily attach lines to shapes, copy/paste, light/dark mode, grids, and keyboard shortcuts.

Development

What is Prompt Engineering?

The introduction of AI tools such as ChatGPT and Bard helps increase the efficiency of tasks such as data generation, code generation and completion, text summarization, etc. How were these AI tools trained to answer better almost every question you ask them? The answer is prompt engineering. What is prompt engineering? Prompt engineering is a technique used to train large language models (LLMs) by supplying these models with specific prompts to improve the accuracy of responses returned. This engineering technique relies heavily on deliberate actions such as providing detailed instructions, context, and input data to the language model.

Getting Hired

College Graduates, Good Advice for a Bad Job Market

Can you get a job in tech right now? The stats don’t feel great: one recent Time article notes that there’s one job opening for every two applicants on LinkedIn, job seekers are sending out 40 percent more applications than they did a year ago, and candidates from underrepresented groups are 25 percent more likely to be ghosted after interviews than their white counterparts. But there’s no reason to be thoroughly depressed – far from it, actually. You’ve got options and you can get a gig. Tech companies are still hiring (I know, I work with them every day – and I am one). Instead of more conventional options, here are six things you can do right now to help yourself.

Hire with confidence.

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