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Data Science

Extract actionable insights from massive datasets using statistical modeling, machine learning, and data visualization.

$100K$200K / yrTechVersatileHigh DemandIndustry

Overview

Data scientists bridge mathematics, statistics, and software engineering to answer business and scientific questions from data. Math majors excel here because they deeply understand the statistical foundations that many practitioners treat as black boxes. Strong mathematical training enables building better models, catching subtle errors, and pushing beyond off-the-shelf tools.

A Day in the Life

9:00 AM
work

Pull and clean dataset for A/B test analysis

10:00 AM
meeting

Sprint planning with product and engineering teams

11:00 AM
analysis

Build regression model for user churn prediction

1:00 PM
work

Create dashboard visualizations in Python/Tableau

3:00 PM
meeting

Present statistical findings to non-technical stakeholders

4:30 PM
study

Review causal inference paper for journal club

Growth Outlook

Excellent — BLS projects data scientist employment to grow 34% from 2024 to 2034, much faster than average, as data-driven work expands across industries.

Source: BLS 2024-34 projection

Recommended Courses

Mathematical Statistics
Linear Algebra
Probability Theory
Regression Analysis
Bayesian Statistics
Graph Theory

Required Skills

StatisticsLinear AlgebraProbabilityPython / RSQLData Visualization

Top Employers

  • Netflix
  • Spotify
  • Airbnb
  • Uber
  • CDC / NIH
  • Census Bureau

Salary Range

$100K$200K

per year, US market

Source: BLS data scientists