About This Hackathon

<h3>Data Scientist: The Most In-Demand Job in the World</h3><p>How many times have you heard that phrase? According to the <strong>Analytics India Annual Salary Study</strong>, the median analytics salary in India for 2017 was <strong>INR 12.7 Lakhs</strong> across all experience levels and skill sets. This study highlights various trends in data science salaries. But what determines these salaries?</p><h3>Key Insights:</h3><ul><li><strong>Mumbai</strong> is the highest paymaster in analytics, offering a median salary of <strong>INR 13.3 Lakhs per annum</strong>, followed by <strong>Bengaluru</strong> at <strong>INR 12.5 Lakhs</strong>.</li><li>The <strong>telecom industry</strong> pays the highest median salaries to analytics professionals, at an impressive <strong>INR 18.6 Lakhs per annum</strong>.</li></ul><p>Given a job description and other key details, can you predict the salary range for a job posting? What factors influence a data scientist's salary?</p><h3>Your Challenge:</h3><p>Analyze the provided data and build a machine learning model to predict the salary range for analytics and data science professionals. You can also uncover insights about the skills and attributes that drive higher salaries—valuable for shaping your own career path!</p><h3>Dataset Overview:</h3><p>The dataset includes salary and job postings collected from across India. It contains rich information about job roles, skills, and salaries.</p><ul><li><strong>Training Set Size</strong>: 19,802 samples</li><li><strong>Test Set Size</strong>: 6,601 samples</li></ul><h3>Features:</h3><ol><li><strong>Name of the Company</strong> (Encoded): The company posting the job.</li><li><strong>Years of Experience</strong>: Required experience for the role.</li><li><strong>Job Description</strong>: Details about the job responsibilities.</li><li><strong>Job Designation</strong>: The title of the job.</li><li><strong>Job Type</strong>: The type of employment (e.g., full-time, contract).</li><li><strong>Key Skills</strong>: The primary skills required for the job.</li><li><strong>Location</strong>: The city where the job is based.</li><li><strong>Salary in Rupees Lakhs</strong>: The target variable to predict.</li></ol><h3>Problem Statement:</h3><p>Based on the attributes and salary information provided, build a robust machine learning model that predicts the salary range of a job posting.</p><h3>Bonus Tip:</h3><p>Analyze the data to gain actionable insights for your career. Understand what skills and locations offer the best opportunities, and how to position yourself for higher salaries.</p>

Rules and Guidelines

<p>One account per participant. Submissions from multiple accounts will lead to disqualification.<br>The submission limit for the hackathon is 10 per day after which the submission will not be evaluated.<br>All registered users are eligible to participate in the hackathon We ask that you respect the spirit of the competition and do not cheat.</p>

Data Scientist: The Most In-Demand Job in the World

How many times have you heard that phrase? According to the Analytics India Annual Salary Study, the median analytics salary in India for 2017 was INR 12.7 Lakhs across all experience levels and skill sets. This study highlights various trends in data science salaries. But what determines these salaries?

Key Insights:

Mumbai is the highest paymaster in analytics, offering a median salary of INR 13.3 Lakhs per annum, followed by Bengaluru at INR 12.5 Lakhs.
The telecom industry pays the highest median salaries to analytics professionals, at an impressive INR 18.6 Lakhs per annum.

Given a job description and other key details, can you predict the salary range for a job posting? What factors influence a data scientist's salary?

Your Challenge:

Analyze the provided data and build a machine learning model to predict the salary range for analytics and data science professionals. You can also uncover insights about the skills and attributes that drive higher salaries—valuable for shaping your own career path!

Dataset Overview:

The dataset includes salary and job postings collected from across India. It contains rich information about job roles, skills, and salaries.

Training Set Size: 19,802 samples
Test Set Size: 6,601 samples

Features:

Name of the Company (Encoded): The company posting the job.
Years of Experience: Required experience for the role.
Job Description: Details about the job responsibilities.
Job Designation: The title of the job.
Job Type: The type of employment (e.g., full-time, contract).
Key Skills: The primary skills required for the job.
Location: The city where the job is based.
Salary in Rupees Lakhs: The target variable to predict.

Problem Statement:

Based on the attributes and salary information provided, build a robust machine learning model that predicts the salary range of a job posting.

Bonus Tip:

Analyze the data to gain actionable insights for your career. Understand what skills and locations offer the best opportunities, and how to position yourself for higher salaries.