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Data Scientist

Overview, Education, Careers Types, Skills, Career Path, Resources

Data Scientists analyze complex data to provide insights and drive business decisions, using statistical methods and machine learning techniques.

Average Salary

₹8,00,000

Growth

high

Satisfaction

medium

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Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

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    Statistical Analysis
    -
    Machine Learning
    -
    Data Visualization
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    Data Wrangling and Preprocessing
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    Programming Skills (Python/R)
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    Big Data Technologies
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    Database Management
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    Communication and Presentation
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    Domain Knowledge
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    Experiment Design
Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

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    Communication Skills
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    Problem-Solving
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    Critical Thinking
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    Collaboration
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    Adaptability
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    Time Management
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    Attention to Detail
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    Storytelling
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    Business Acumen
Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

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    Python Programming
    -
    R Programming
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    SQL
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    Machine Learning
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    Data Visualization
    -
    Statistical Analysis
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    Big Data Technologies
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    Data Wrangling
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    Deep Learning
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    Communication Skills
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    Cloud Computing
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    Data Engineering
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    Mathematics
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    Business Understanding
Duties and Responsiblities

Task

Work Activities

95%

Analyzing complex datasets to identify trends, patterns, and insights relevant to business decisions.

92%

Developing and implementing machine learning models for predictive analysis and automation.

90%

Applying statistical techniques to create models that explain and predict data behavior.

88%

Creating compelling visualizations to communicate data insights to stakeholders.

85%

Ensuring data quality by cleaning, transforming, and preparing data for analysis.

82%

Designing experiments to test hypotheses and validate data-driven strategies.

80%

Writing code to automate data processing, analysis, and model deployment.

78%

Managing and processing large datasets using tools like Hadoop and Spark.

75%

Working with databases (SQL, NoSQL) to store, retrieve, and manage data efficiently.

72%

Developing BI solutions to provide actionable insights for business users.

70%

Presenting findings and recommendations to technical and non-technical audiences.

68%

Collaborating with cross-functional teams to solve complex business problems.

Detailed Work Profile

Interests