The PathMatch Guide to

Data Science

A Day in the Life

Data Scientists are people who know how to extract meaning from and interpret data by using various tools and methods, like statistics and machine learning. They spend a lot of time in the process of collecting, cleaning, and munging data, because data is never clean. This process requires persistence, statistics, and software engineering skills—skills that are also necessary for understanding biases in the data, and for debugging logging output from code.

Whether you have no idea what you want to do, have a vague idea, or are ready to get started, we have the resources to help you get there.

Work Responsibilities

  • Translate unstructured business problems into well-defined machine learning projects
  • Own all steps in ML/AI/Statistical model development cycle from ideation, hypothesis formulation, data collection, feature engineering, model development, and delivery
  • Develop advanced machine learning algorithms and translate complex analytics into actionable recommendations
  • Develop and prototype AI algorithms and software tools
  • Demonstrate thought leadership and expertise in ML/AI/Advanced Statistical methods to business partners (marketing, sales, and product)
  • Use data science to leverage data and create new products

Skills You'll Need

  • Experience working with scripting languages such as Python, R, and SQL
  • Fluent programming skills in Python and its many modules including Matplotlip, Numpy, along with the machine learning frameworks Tensorflow, Keras, and Sklearn
  • Expertise in machine learning algorithms with keen understanding of choosing suitable models, learning procedures, and working hyperparameters
  • Technical depth in the use of current state-of-the-art AI and ML technologies
  • Data Intuition
  • Data Wrangling, Data Reporting, and Data Visualization
  • Database Management

Industries You'll Work In

No items found.

The Network You'd Build

Here are a few real-word examples of jobs and people working in this industry right now.

Example Jobs

Data Scientist for Venmo

Data Scientist for Facebook

Manager of Data Science for Spotify

VP of Data Science for Bain & Company

Real World Professionals

Data Scientist

Senior Data Scientist

Data Science Manager

Director of Data Science

Head of Data Science & Machine Learning

Director of Data Science

Growth Path

  1. Data Scientist
  2. Senior Data Scientist
  3. Manager of Data Science
  4. Director of Data Science
10
/10

Demand for Talent

  • Among the fastest growing in the country
  • Demand outweighs supply with a 15% discrepancy between job postings and searches on Indeed
  • Indeed shows a 29% increase year-over-year and a 344% increase since 2013
  • Demand for Data Scientists will only grow as organizations increase their reliance on data-driven insights
  • Companies investing in data transformational projects with no end in sight means tremendous future demand

Compensation

$85K–155K
Data Scientist
$120K–160K
Senior Data Scientist
$140K–180K
Manager of Data Science
$155K–200K
Director of Data Science

Teams You'll Work With

Data Science works with the engineering and product management teams.

8
/10

Work/Life Balance Score

Work/life balance is when someone equally prioritizes their career and their personal life. This balance can vary greatly from one career to the next.

10
/10

Job Stability Score

Job stability is about more than your experience and career. As industries decline, so do the jobs in them.

9
/10

Prestige Score

Job stability is about more than your experience and career. As industries decline, so do the jobs in them.

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