Data Scientist Jobs
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Meesho
Assistant Data Science
FULL TIME
18.00Lacs
Work from office (WFO)
6-10 Years
PHYSICSWALLAH
Data Scientist
FULL TIME
16.00Lacs
Work from office (WFO)
3-6 Years
PHYSICSWALLAH
Data Scientist
FULL TIME
16.00Lacs
Work from office (WFO)
3-6 Years
MAKEMYTRIP
Data Science
FULL TIME
28.00Lacs
Work from office (WFO)
6-10 Years
Finbox
Senior Data Scientist
FULL TIME
28.00Lacs
Work from office (WFO)
6-10 Years
NETOMIC
Lead Data Scientist
FULL TIME
22.00Lacs
Work from office (WFO)
3-6 Years
Fabhotel
Lead Data Scientist
FULL TIME
30.00Lacs
Work from office (WFO)
12 Yrs +
Urbanclap
Data Scientist
FULL TIME
11.00Lacs
Work from office (WFO)
1-3 Years
Inmobi
Staff Data Scientist
FULL TIME
38.00Lacs
Work from office (WFO)
3-6 Years
Swiggy
Data Scientist
FULL TIME
12.00Lacs
Work from office (WFO)
3-6 Years
Cars24
Data Scientist
FULL TIME
25.00Lacs
Work from office (WFO)
6-10 Years
Protiviti
Data Scientist
FULL TIME
19.00Lacs
Work from office (WFO)
6-10 Years
What is a Data Scientist?
A Data Scientist is a professional skilled in extracting meaningful insights from vast amounts of data. Using analytical, statistical, and programming skills, they process and analyze data to solve complex problems and predict future trends. Their work involves interpreting data and developing algorithms, predictive models, and custom analysis to drive strategic decision-making across various sectors.
For those aspiring to navigate the challenging yet rewarding path of data science, Unojobs serves as a valuable resource. It offers a platform to discover a diverse range of Data Scientist positions across industries, helping professionals connect with their next great opportunity in the job market.
Key Responsibilities of Data Scientist
- Analyze Data: Use Python or R for data collection, cleaning, and analysis. Master data manipulation and visualization to derive insights.
- Build Predictive Models: Develop machine learning models for forecasting and optimization based on historical data.
- Collaborate: Communicate findings to stakeholders, translating complex data into actionable insights.
- Stay Informed: Keep up with the latest in data science and machine learning through continuous learning.
- Ensure Ethics: Adhere to data privacy laws and ethical standards in all data handling and analysis.
Career Job Opportunities for Data Scientists in India
Unojobs serves as a premier platform, connecting skilled professionals with a plethora of job opportunities across India. It stands out as a beacon for those seeking to advance their careers, offering a gateway to explore diverse roles in various industries. Here's a look at the opportunities in major cities:
Data Scientists Job in Bangalore:
Known as the Silicon Valley of India, Bangalore is a hotspot for Data Scientists. The city's thriving IT and startup ecosystem offers a wealth of opportunities to work on cutting-edge projects in AI, machine learning, and big data analytics.
Data Scientists Job in Mumbai:
Mumbai, the financial capital, presents Data Scientists with opportunities in finance, marketing, and e-commerce sectors. The city's diverse industries seek professionals who can translate complex data into actionable insights to drive business growth.
Data Scientists Job in Delhi:
The political and cultural hub of India, Delhi, offers Data Scientists roles in public sector projects, healthcare, and service industries. The city's focus on improving public services through data analytics opens up various avenues for impactful work.
Data Scientists Job in Gurgaon:
Gurgaon is known for its booming real estate and e-commerce sectors, requiring it to optimize operations, customer experience, and supply chain management through predictive analytics and data modelling.
Data Scientists Job in Noida:
With its rapidly growing IT and services sector, Noida is looking for Data Scientists capable of handling big data, implementing machine learning models, and providing insights to steer strategic decisions.
Educational Requirements for Data Scientists
- A bachelor's degree in a relevant field, such as computer science, statistics, mathematics, or engineering, is typically required for entry-level positions in data science.
- Some employers may prefer candidates with a master's degree or higher in a related field, as it demonstrates a deeper understanding of advanced statistical concepts and data analysis techniques.
- Strong knowledge and proficiency in programming languages such as Python, R, or SQL are essential for data scientists to manipulate and analyze large datasets.
- Familiarity with machine learning algorithms and techniques is crucial for data scientists, who often use these methods to develop predictive models and make data-driven decisions.
- Data scientists should possess a solid understanding of statistical concepts and techniques, as they frequently employ statistical analysis to draw meaningful insights from data.
- Excellent communication and presentation skills are necessary for data scientists to effectively communicate their findings and insights to both technical and non-technical stakeholders.
How can freshers apply for a Data Scientist Job?
Freshers interested in a Data Scientist job can start by building a strong foundation in relevant fields such as statistics, computer science, and data analysis. Gaining proficiency in programming languages like Python or R and familiarizing yourself with machine learning algorithms and data visualization tools are crucial steps.
Working on personal projects or internships that allow you to apply theoretical knowledge to real-world problems is also beneficial. Creating a portfolio to showcase these projects can help demonstrate your skills to potential employers. Additionally, leveraging platforms like Unojobs to find entry-level positions or internships in data science can provide a valuable starting point for your career.