In today’s job market, data science and machine learning are high-demand industries, with startups and big tech companies actively seeking skilled individuals.
According to the U.S Bureau of Labour Statistics, the global demand for data scientists is expected to grow by over 36% by 2033. Similarly, machine learning is projected to grow by 36.08% between 2024 and 2030.
This blog provides insights into various roles in data science and machine learning, the required skills, and the differences between working in a startup versus a big tech company.
Data Science and Machine Learning Roles in Startups
Startups are hubs of innovation, offering data science and machine learning enthusiasts opportunities for skill development and exposure. Common roles in startups include:
1. Data Scientist
Data Scientists handle end-to-end data solutions, from data collection to analysis, providing actionable insights for products and businesses.
- Skills Needed: Proficiency in Python, SQL, data visualization tools like Tableau, and strong statistical knowledge.
- Salary Range: Typically, data scientists earn between 8 LPA and 20 LPA in India.
2. Machine Learning Engineer
ML Engineers build and deploy ML models to enhance product performance and customer experience in startups.
- Skills Needed: Proficiency in Python, R, ML algorithms, cloud services, and real-time data handling.
- Salary Range: Machine learning engineers in India earn between 6 LPA and 17.3 LPA.
3. Data Analyst
Data Analysts generate data-driven reports, visualize trends, and assist in strategic decision-making in startups.
- Skills Needed: Proficiency in Excel, SQL, basic ML concepts, and strong communication skills.
- Salary Range: Data analysts typically earn between 4 LPA and 10 LPA in India.
Explore free courses to kickstart your learning journey:
Why Startups?
Startups offer exposure to diverse projects, fostering personal growth and innovation. They provide opportunities for individuals to take on more responsibilities and contribute directly to the company’s success.
Data Science and Machine Learning Roles in Big Tech
In big tech companies, data science and ML roles are specialized, with distinct responsibilities. Common roles include:
1. Data Scientist
Data Scientists conduct in-depth analysis, build predictive models, and develop data strategies to support large-scale operations in big tech companies.
- Skills Needed: Advanced knowledge of Python, R, SQL, big data frameworks, and specialized tools.
- Salary Range: Salaries for data scientists in big tech range from ₹10-18 lakh per annum for entry to mid-level roles.
2. AI Research Scientist
AI Research Scientists develop new algorithms and contribute to research in areas like NLP, computer vision, and deep learning in big tech companies.
- Skills Needed: Background in mathematics, research-oriented problem-solving skills, and deep learning framework knowledge.
- Salary Range: AI Research Scientists earn between ₹15-25 lakh per annum.
