Description

Data scientists in IT are accountable for analyzing complex data and giving advice on systems to their organizations. They develop new methods to integrate vast amounts of information, with a an emphasis on issues related to information technology. They collaborate in teams with others IT professionals to handle statistical data and develop various models that meet the requirements of their business. They have advanced analytical capabilities as well as extraordinary written and oral skills in communication. They analyze research data to make it easier to consume and translate it into practical strategies. They also add the business with value by presenting their findings and insightful insight.

IT data scientists adhere to specific strict industry and company guidelines when they work. They adhere to the privacy of data rights to ensure satisfaction of clients and avoid legal problems. They establish networks of experts to talk with, which includes external and internal colleagues. The majority of data scientists work in teams, using collaborative filtering, k-nearest neighbor market basket analysis, matrix factorization techniques. They work with the latest technology on a regular basis and usually are equipped with the most advanced tools to them. One of their primary tools of work is typically an industrial computer that has powerful processing capabilities and exclusive software for tasks in research.

IT data scientists typically have previous experience in a similar job. They must have a deep understanding of various data mining methods like clustering regression analysis, clustering as well as decision trees and vector machines. A doctorate (such as an PhD) related to computer science are typically required for this type of job, as are prior experience in a similar area.

Roles & Responsibilities

As a Data Scientist in IT with 3-6 years of experience in India, your main responsibilities include:

  • Extracting and analyzing large datasets to identify patterns, trends, and insights for informed decision-making.
  • Developing and implementing machine learning models and algorithms to solve complex business problems.
  • Collaborating with cross-functional teams to translate business requirements into data-driven solutions and delivering actionable recommendations.
  • Continuously monitoring and optimizing data models and algorithms to ensure their accuracy, efficiency, and reliability in real-time scenarios.

Qualifications & Work Experience

For a Data Scientist job role, the following qualifications are required:

  • Proficiency in programming languages such as Python, R, or SQL to extract, clean, and analyze data from various sources.
  • Strong statistical and mathematical skills to create predictive models and algorithms for data analysis and machine learning.
  • In-depth knowledge of data visualization tools like Tableau or Power BI to present findings and insights in a clear and understandable manner.
  • Excellent problem-solving abilities to identify patterns, trends, and outliers in data, and derive actionable business recommendations based on analysis.

Essential Skills For Data Scientist, IT

1

Data Modelling

2

Data Science

3

Data Visualization

4

Data Analysis

Skills That Affect Data Scientist, IT Salaries

Different skills can affect your salary. Below are the most popular skills and their effect on salary.

Apache Hadoop

30%

Statistical Analysis

54%

SAS

18%

R

40%

Python

3%

Data Analysis

47%

Career Prospects

For a Data Scientist in an IT role with 3-6 years of experience in India, there are several alternative roles to consider within the industry. Here are four options worth exploring:

  • Machine Learning Engineer: A role that focuses on developing and implementing machine learning algorithms to solve complex problems and improve data-driven decision-making.
  • Data Engineer: A position dedicated to designing, constructing, and maintaining the infrastructure required for data storage, processing, and analysis.
  • Business Intelligence Analyst: A role that involves transforming raw data into meaningful insights and visualizations to support business strategy and decision-making.
  • Data Visualization Specialist: A position focused on creating visually compelling and intuitive representations of data to communicate complex information effectively.

How to Learn

The job role of a Data Scientist is projected to witness significant growth in the Indian market. According to a 10-year analysis, this position has consistently shown an upward trend, with a surge in demand for professionals skilled in data science. Reports suggest that the employment opportunities for Data Scientists will continue to rise in the future, offering a promising career path. Google's latest data points further support this projection, indicating a growing need for expertise in this field. Overall, the data indicates a positive outlook for the role of Data Scientist in India, with ample employment opportunities on the horizon.