About Data Science Engineer?
Data engineers build and maintain the systems that allow data scientists to access and interpret data. They work more closely with underlying technology than a data scientist. The role generally involves creating data models, building data pipelines, and overseeing extract, transform, load (ETL).
Why Choose Data Science Engineer?
Data science is a growing field with high demand across many industries. Data scientists can use their skills to automate manual processes, which can save companies time and money. They can also apply data analysis to new industries, like telemedicine, to develop products that are more user-friendly than competitors. Data science can also help engineers identify bottlenecks and improve production processes.
Here are some other reasons to pursue a career in data science:
- Impact: You can have a big impact on your company and the world.
- Salary: Data scientists have a competitive salary base, with a median salary of $100,910 in 2021.
- Growth: Data science is expected to grow 36% through 2031.
- Job satisfaction: Data science is an exciting field with potential for innovative technology and AI.
- Versatile skills: Data science involves real-world problem-solving.
Duration:
4 Years
Examination Type
Semester
Eligibility
10+2 passed with min 50% in PCM for General Caste And 45% for SC/ST/OBC.
Top Recruiting Companies
Several top companies actively recruit Data Science Engineers for various roles across industries. Here are some notable examples:
-
Google: Google is known for its innovative projects in data science, machine learning, and artificial intelligence. They hire Data Science Engineers to work on projects such as search algorithms, natural language processing, and recommendation systems.
-
Facebook: Facebook utilizes data science and machine learning techniques for various applications, including personalized recommendations, content moderation, and ad targeting. They offer opportunities for Data Science Engineers to work on cutting-edge projects in social media analytics and data-driven decision-making.
-
Amazon: Amazon employs data science and machine learning across its e-commerce, cloud computing, and logistics divisions. They hire Data Science Engineers to work on projects such as demand forecasting, product recommendation, and customer segmentation.
-
Microsoft: Microsoft offers opportunities for Data Science Engineers to work on projects such as Azure Machine Learning, cognitive services, and AI-powered applications. They focus on areas such as natural language processing, computer vision, and predictive analytics.
-
Apple: Apple utilizes data science and machine learning techniques in products and services such as Siri, facial recognition, and user behavior analysis. They hire Data Science Engineers to work on projects related to speech recognition, image processing, and data-driven product development.
-
Netflix: Netflix relies on data science and machine learning for content recommendation, user personalization, and content optimization. They hire Data Science Engineers to work on projects related to recommendation algorithms, content analytics, and streaming optimization.
-
Uber: Uber utilizes data science and machine learning for various applications, including ride matching, dynamic pricing, and route optimization. They offer opportunities for Data Science Engineers to work on projects related to transportation analytics, demand forecasting, and fraud detection.
-
Airbnb: Airbnb uses data science and machine learning for personalized search ranking, dynamic pricing, and user experience optimization. They hire Data Science Engineers to work on projects related to user segmentation, pricing optimization, and market analysis.
-
LinkedIn: LinkedIn employs data science and machine learning for various applications, including job recommendation, talent matching, and social network analysis. They offer opportunities for Data Science Engineers to work on projects related to career insights, user engagement, and talent acquisition.
-
Salesforce: Salesforce utilizes data science and machine learning for customer relationship management, sales forecasting, and marketing automation. They hire Data Science Engineers to work on projects related to predictive analytics, customer segmentation, and lead scoring.
These are just a few examples of top companies that actively recruit Data Science Engineers. Many other organizations across industries, including finance, healthcare, retail, and technology, also seek talented professionals to drive their data initiatives and unlock insights from their data.
