Data Scientist at Newgen

Why Choose Newgen?

Newgen has a great working environment in various fields with fantastic progressing potential. Newgen is your home away from home. The policies and practices that Newgen abides by are meant to create a learning and empowering working environment.

About the Role

A Data Scientist in an organization is a person who uses their knowledge of statistics, programming, and domain expertise to extract insights from data. Data scientists typically have strong skills in mathematics, statistics, and computer science, as well as domain knowledge in a specific industry. They use these skills to build predictive models, uncover patterns in data, and help organizations make data-driven decisions.

Salary and Perks of Data Scientist at Newgen

The salary of a Data Scientist at Newgen is below:

The perks of a data Scientist at Newgen are below:

• Team Outings
• Cafeteria
• Health Insurance
• Free Transport
• Work From Home
• Soft Skill Training
• International Relocation
• Job Training

Skills and Experience Required 

Some specific skills that are often required for a data scientist at Newgen include:

• Strong knowledge of statistical techniques, such as regression analysis and machine learning
   
• Experience with programming languages such as Python, R, and SQL
   
• Know about big data technologies, such as Hadoop and Spark
   
• Strong problem-solving and critical-thinking skills
   
• Experienced with using data visualization tools, such as Tableau
   
• Good communication skills to effectively convey findings to both technical and non-technical audiences
   
• In addition to these technical skills, data scientists also need to have domain knowledge in the specific industry they are working in.

Responsibilities of Data Scientist at Newgen

Some specific responsibilities of a data scientist might include:

• Collecting, cleaning, and preprocessing data from a variety of sources
   
• Building predictive models using machine learning and other statistical techniques
   
• Visualizing and presenting data to both technical and non-technical audiences
   
• Collaborating with other teams, such as engineering, product, and business, to identify opportunities for data-driven decision making
   
• Continuously staying up-to-date with the latest  Data science techniques and technologies
   
• Developing and maintaining data infrastructure to support data-driven decision making

Overall, the main responsibility of a data scientist is to use the skills they have in mathematics, computer science, and statistics to uncover insights from data that can help organizations make better decisions.

Preparation Strategy

a. Develop Data Scientist skills: To become a Data Scientist at Newgen, you have to earn some skills that are required to become a data Scientist and crack the interview.

b. Create Portfolio: Try to learn excel and power bi on your own and work on small projects that need the skills of a Data Scientist.
c. Certificate: Gain some certifications that will help you to learn about the role, and it will help you to get the job fast.

Career Map for a Data Scientist

Some potential career paths for a data scientist might include:

• Starting as a junior data scientist, working on small-scale projects and learning from more experienced colleagues
   
• Advancing to a mid-level data scientist role, taking on more responsibility, and leading data science projects
   
• Moving into a senior data scientist role, overseeing the work of other data scientists, and helping to set the strategy for data-driven decision-making within the organization
   
• Switching to a different industry, applying their data science skills to a new domain, and gaining expertise in a new field
   
• Pursuing a more specialized role within data science, such as a machine learning engineer or data engineering manager
   
• Advancing to a leadership role, such as a data science director or chief data officer, where they can set the overall direction for data science within the organization.
   

You can also check out Data Analyst vs Data Scientist here.

Resources For Preparation

You can also check out the links below to prepare for your interviews. 

Interview Resources

You can refer to the below resources to prepare for your interviews:

Test Series: You can refer to the test series to learn and practice different mock tests for different companies.

Problems: You can check out different types of problems asked in different company interviews.

Problem Lists: This will help you to know about different problems asked in a company and prepare them.

Interview preparation: a complete preparation guide for you to ace your interview.

Interview Bundles: Check this to get a complete bundle to prepare for your interview.

Interview Puzzles: You can refer to this to learn and know all about Interview Puzzles.

Interview Questions: Check this to learn about different Interview questions and how to answer them.

Interview Sessions: a complete guide for you to practice in mock interviews to prepare yourself for the actual interview.

Technical Resources

You can refer to the below resources to learn programming and related concepts:

Data Structure and Algorithm: You can refer to this to learn all about the data structure and algorithms.

Competitive Programming: You can refer to this to learn all about competitive programming.

C Programming: You can refer to this to learn all about C programming.

Python Programming: You can refer to this to learn all about Python programming.

Competitive Programming Course: Refer to this to learn all about competitive programming with this course.

Python and DSA Course: Refer to this to learn all about Python DSA with this course.

Java DSA Course: Refer to this to learn all about Java DSA with this course.

Data Science Course: Refer to this to learn all about Data scientists with this course.

Data Science and Machine Learning: Refer to this guided path to learn all about Data science and machine learning.

Data Warehousing and Data Mining: learn about data warehousing and data mining.

DevOps: You can refer to this to learn all about DevOps.

Miscellaneous Resources

IT Certifications: You can check this to learn about different IT certifications and learn information about them.

Contests: You can refer to this and take part in the contest.

Guided Paths: You can refer to this to learn different programming languages with certifications.

Aptitude: You can refer to this to learn and know about aptitude preparation.

CN Library: a complete library of topics for you to study your desired subject.

Diversified Section- a complete section to dig into the pool of variegated technical articles.

Computer Organisation: You can check this to learn all about Computer Architecture and its Organisation.

Guidance to Open Source: Check this for complete guidance to Open Source.

You must watch the video given below, which will help you to reach Newgen:-

Frequently Asked Questions

What does a data Scientist do?

A data scientist in an organization is a person who uses their knowledge of statistics, programming, and domain expertise to extract insights from data.

Is Data Scientist a good career?

Yes, a career as a data scientist is good to go.

What is the salary of a Data Scientist?

Data Scientist salary in India up to 7 years ranges from ₹ 4 Lakhs to ₹ 18 Lakhs with an average salary of ₹ 4.5 Lakhs per year.

Conclusion

In this article, we discussed the role of the Data Scientist at Newgen. We have learned about the roles and responsibilities, the salary of a Data Scientist, and the Skills required to become a Data Scientist at Newgen.

We hope this blog title was helpful. You can also refer to other similar articles.

• Newgen Preparation Guide
• Ways to join Newgen 
• Job opportunities at Newgen
• data scientist interview questions

You can also consider our online coding courses such as the Data Science Course to give your career an edge over others.

Happy Learning Ninja!