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byjus: Tech salaries get reset as startup talent becomes affordable amid crises at Byju s, Paytm

While many employees of cash-strapped ed-tech firm Byjus have been in the job market for a while now, troubles at Paytm after the central bank imposed curbs on its payments bank unit have made a number of its staffers jittery, driving them to explore other options. Swiggy and Flipkarts announcements of workforce cuts have also added to the supply of talent who were highly paid.

Data scientist: Data scientist vs data analyst: The major difference between the two

The roles of data scientists and data analysts have evolved with the advancements in technology and the rise of big data. While both roles require similar skills, data scientists are primarily problem solvers and use a wide range of tools such as Tableau, Python, and Excel to develop and test new algorithms. They work with both structured and unstructured data and focus on building AI and machine learning models.

Crypto regulation on G20 Summit agenda; Nazara bags Rs 410 crore from SBI Mutual Fund

As India gears up to host the G20 Summit from Friday, cryptocurrency is expected to be an important topic of discussion at the high table, potentially paving the way for a global regulatory framework. This and more in todays ETtech Top 5.

funding crisis: Startups take measures to ease their employees out

Putting more people on performance improvement plans, setting unrealistic targets to be met in a short period, freezing hikes and variable pay as well as creating pressure in the form of extended office hours and compulsory work from office are some of the measures that companies are adopting to ease people out.

Emerging data science opportunities in the age of AI

The demand for data science and analytics professionals is on the rise. The emergence of generative AI has led to questions about the impact on careers in the field. However, organizations in various industries, not just financial services, are recognizing the value of data analysis. High-demand data science roles include data scientists, data engineers, business intelligence engineers, and machine learning engineers.

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