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salary information

Salary Information for a Data Scientist in United States

Median salary:

This data reflects Total Cash for a Level 3 Data Scientist at a mid-size company. To get more detailed information on total compensation for the role of Data Scientist in United States, including base pay, total cash, and equity by job level, region and company size, please join OpenComp.

25th percentile
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Behind the numbers

What is the adjusted total comp for a Data Scientist in United States?

Total Comp (TC)
Cost of Living (COL) Index
COL-Adjusted TC
Median Home Price

Total Comp (TC)

Cost of Living (COL) Index
COL-Adjusted TC

Median Home Price

What are the responsibilities of a Data Scientist in United States?

Uses scientific and mathematic methods, processes, algorithms and systems to extract�knowledge�and insights from structured and�unstructured data

What are the characteristics of a level 3 Data Scientist?

A level 3 Data Scientist in United States is a seasoned professional with competence, creativity in wide range of technical areas. They resolves most issues and problems effectively. Average experience 5.5 years.

Data Scientist

Benchmark Role

Individual Contributor

Job Type

Data Science

Job Family

Technology

Job Area

Quality of Life for High-Income Earners in the United States

Earning $170,935 per year places an individual well above the median household income in the United States, providing a substantial buffer against the average cost of living and allowing for a higher quality of life. Here's an in-depth look at various aspects of life for someone with this income level:

Cost of Living

  • General Expenses: With a six-figure salary, essential expenses such as food, transportation, and utilities are comfortably covered. This income allows for a high level of discretionary spending and savings potential.
  • Regional Variations: Cost of living varies by region; urban areas like New York City or San Francisco have higher living costs compared to rural areas or smaller cities. Nonetheless, $170,935 offers considerable financial flexibility even in costly locales.

Housing Market

  • Affordability: The national median home price in 2023 hovers around $416,000. This salary enables purchasing power above the median, accessing higher-end property markets.
  • Mortgage Example: A typical mortgage (assuming a 20% down payment and favorable interest rates) would be well within the means of someone earning this salary, allowing for substantial investment in home ownership.

Quality of Life

  • Lifestyle Choices: This income allows for a wide range of lifestyle possibilities, including travel, dining out, and cultural activities. It also enables investments in health, education, and extended family support.
  • Work-Life Balance: Opportunities to afford services such as childcare or housekeeping help, potentially enhancing work-life balance.

Access to Healthcare

  • Insurance Coverage: With higher income, access to comprehensive healthcare insurance options is likely, either through employers or private providers. There is potential to afford higher-tier plans, contributing to better overall health outcomes.
  • Healthcare Costs: Despite higher accessibility to insurance, healthcare costs in the U.S. are high; this income offers a cushion against unexpected medical expenses.

Quality of K-12 Schools

  • Public vs. Private Education: Access to well-funded public schools in desirable districts increases, and private school tuition becomes an affordable option.
  • Educational Resources: Ability to invest in supplementary educational resources such as tutoring, extracurricular activities, and technology enhances educational opportunities.

Overall Assessment

Earning $170,935 per year offers a significant degree of financial security and flexibility relative to the broader U.S. population. This income facilitates a

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OpenComp aggregates multiple data sources to provide accurate salary data for United States, specifically for a Level 3 Data Scientist. The primary source is real-time, crowd-sourced salary information collected through direct integrations with hundreds of customer-connected HRIS platforms.

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