How Do I Get High-Paying Data Scientist Jobs?

Requisite skills for a data scientist

We should be aware of the required abilities that are crucial to building a data scientist's basis in any sector of data science.

• Understanding of data
• Understanding of algorithms and logic
• Understanding of programming
• Understanding of Statistics
• Understanding of business domain

Data science job roles

Data science workers are in high demand across all career sectors, not only within the IT sector.

• Data scientist

  Working as a data scientist is both gratifying and intriguing. They work with unstructured data and use machine learning to analyse it using a variety of techniques, including clustering, classification, and regression. They gather insights to create the data necessary for making choices and resolving business issues.

  • Responsibilities of a Data Scientist

    • To make useful insights, they gathered organized and unorganized data.
    • For the growth of organizations, they identify useful solutions with analytical skills, machine learning, and deep learning.
    • To solve complex problems, they follow a data-driven approach.
    • By cleaning and validating data, they enhance the efficiency and accuracy of data.
    • For understandable communication with organizations' stakeholders, they use data visualization.

      

      Image Source

  • Data scientist salary range

    The salary of a Data Scientist is ₹698,412 per annum. The salary for an entry-level professional is ₹500,000 per annum. Early-level data scientist salary is ₹610,811 with experience of 1-4 years. Median salary with more experience of 5-9 years can rise to an average of ₹1,004,082.

• Data engineers

  The person who develops the software infrastructure for a data scientist is a data engineer. They ought to be well-versed in a variety of technologies, including SQL, MapReduce, Hadoop, and big data. Data wrangling is the majority of what data engineers perform, which will be helpful to software programmers.

  • Responsibilities

    • Cleaning and consolidating the data, collected from different sources
    • Develop software for data transformation, data extraction, and data loading using AWS, SQL, and big data
    • Using statistical techniques and machine learning algorithms, they build data pipelines
    • To enhance data efficiency and quality, develop innovative ways
    • Maintaining data architecture, testing data, and developing software.
    • Skills required for data engineers
    • Strong skills manage unorganized datasets in analytics
    • Programming skills in languages like Python, Java, C++, Ruby, etc.
    • Experience in relational databases and knowledge of database software like SQL.

      

      Image Source

  • Data engineer's salary range

    The salary of a Data engineer in India is Rs.8,56,643 LPA. But it depends on company size, location, education qualification, work experience, and job position. Big companies like Amazon, Netflix, IBM, Spotify, etc., give high pays to their data engineers. The more you have previous work experience, the more you have market value.

    Early level data engineers with 1-4 years have an average salary of Rs.7,37,257 LPA. For mid-level with experience of 5-9 years, have an average salary of Rs.1,218,983 LPA.

• Data analyst

  The data must be analysed by the data analyst. Data analysts gather, evaluate, and use statistical data to provide insightful conclusions. Languages for programming, such as SAS, R, and Python, are needed for this procedure. Companies require data analysts in numerous industries, including IT, healthcare, automotive, finance, insurance, etc., in order to operate profitably and successfully.

  • Responsibilities of aData Analysts

    • Through data mining and data analysis, they gather valuable patterns and identify correlations.
    • They work with customer-centric algorithms to modify them according to customer demand.
    • Solve business problems by data mapping from different sources and tracing them.
    • Under customer's, preferences create customized models for customer tastes and customer-centric market strategies.
    • By developing statistical analysis, analyze and conduct consumer data research.

      

      Image Source

  • Data analyst salary range

    Data analyst of early-level with experience of 1-4 years has an average salary of Rs.3,96,128. Middle-level data analysts with 5-9 years of experience have an average salary of Rs.6,03,120 based on the location of working for place and organization. Data analysts who have experience of 10-19 years can earn an average salary of Rs.9,00,000. Click here to learn Data Science Course

Factors affecting data scientist salary

• Location
• Experience
• Skills
• Company

• Data scientist salary by location

  Data scientist salary depends on the location. Mumbai offers the highest pay scale than Bangalore and New Delhi. However, Bangalore has more opportunities for startups and is considered the tech industry hub in India.

• Data scientist salary by experience

  Data scientists have different salary packages according to their job level and number of years of experience.

• Data scientist Salary by Skills

  For having high pay rates, you must have mastered several skills. Not only your master's degree or data science course in Bangalore will help. You should have command of different programming languages, using different software, analytical skills, etc.

• Data scientist salary by the company

  Reputable companies in the market offer high pay scales to their data scientists. They also have a reputation for an annual increase in salaries by 15%.