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If you work in the field of data science, congratulations! You made a wise career choice. If you’re not working in the field yet, what are you waiting for?By 2031, the U.S. Bureau of Labor Statistics predicts that employment in the sector will grow by 36%.
According to Statista, the amount of data created and replicated will reach new highs in 2020, and by 2025, the amount of data created worldwide is projected to grow to over 180 zettabytes. This year he created 120 zettabytes of data and is estimated to grow by 23 zettabytes by 2022.
This vast amount of data is one reason why the role of data science is proliferating. Data professionals who analyze and interpret the data generated by large amounts of data from a host of existing and new technologies, such as large-scale cloud deployments and IoT devices such as smart doorbells, fitness trackers, motion detection (among many others) is required. information.
The future of commercial decision making
Insights gleaned from data can also give you a competitive advantage. From descriptive analytics to diagnostic, predictive and prescriptive analytics, businesses can and should leverage data that will future-proof their commercial decisions.
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Amazon is just one company leveraging the value of big data to improve the customer experience and leverage insights for dynamic pricing and product recommendations. Netflix uses big data insights to create personalization opportunities for subscribers.
Data analysis involving data gleaned from historical sales data at McDonald’s found that fast food companies create digital menus that change based on various factors such as weather and time of day.
And Spotify uses big data to understand listener behavior, and the company uses data science to personalize the user experience across song, artist and album recommendations.
data science career path
Data science use cases and their benefits are well established. According to his 2022 report for the American Chamber of Commerce Foundation, 24% of companies are using big data analytics, and 97.2% said they are investing in big data and AI projects.
As we move toward a data-driven future, we expect to see many opportunities for roles such as data scientists, architects, analysts, storytellers, and engineers, as well as machine learning roles and statisticians.
Generally, a minimum of a Bachelor’s degree in Computer Science, Data Science, or a related field is required as a basic requirement to work in this field. Depending on your area of expertise, you may also need to be proficient with many tools and technologies such as SQL, Python, Apache Spark, SAS, Microsoft Power BI, Tableau, and more.
Don’t forget soft skills. You must be a good problem solver, be able to present your findings well, and have excellent communication and negotiation skills.
To find new job opportunities within the data science industry, the VentureBeat Job Board is your first point of contact with thousands of open positions across the technology sector. Check out three companies known to hire for data jobs below.
IBM
Known for innovation, IBM is best known for developing the floppy disk, but it also pioneered ATMs, dynamic random access memory (DRAM), hard disk drives, magnetic stripe cards, and relational database RISC. IBM is also innovating in artificial intelligence, quantum computing and blockchain. The company also provides complete software solutions for the business and his IT operations, development, data science, security and management. See all open positions at IBM.
microsoft
Data science is built into Microsoft, an environment we internally call a “data culture” that uses data to run every aspect of our company and empower every employee with the power of data. Analytics and AI are top priorities here, and through Azure Synapse Analytics, Microsoft unites the worlds of big data, machine learning, and data warehousing into his one service. As a result, talented people need to join the company to achieve their goals. do you want to work here? Check out the roles available now.
Airbnb
Airbnb, an online marketplace for short-term homestays and experiences, uses data science extensively across its business. The data is used to optimize our services and searches, as well as our employment practices. Airbnb uses data science to analyze and eliminate bias in their hiring behavior. You can find open data science roles here.
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