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salary information

Salary Information for a Data Scientist in San Francisco, CA

Median salary:

This data reflects Total Cash for a Level 1 Data Scientist at a mid-size company. To get more detailed information on total compensation for the role of Data Scientist in San Francisco, CA, including base pay, total cash, and equity by job level, region and company size, please join OpenComp.

25th percentile
50th percentile
75th percentile

Behind the numbers

What is the adjusted total comp for a Data Scientist in San Francisco, CA?

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

90.1

Total Comp (TC)

Cost of Living (COL) Index
90.1
COL-Adjusted TC

Median Home Price

What are the responsibilities of a Data Scientist in San Francisco, CA?

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 1 Data Scientist?

A level 1 Data Scientist in San Francisco, CA is a developing professional and technical expertise. They are able to resolve routine issues and problems and have an average of 1 year of work experience.

Data Scientist

Benchmark Role

Individual Contributor

Job Type

Data Science

Job Family

Technology

Job Area

Quality of Life in San Francisco, CA for an Annual Income of $139,200

San Francisco is known for its vibrant culture, diverse opportunities, and breathtaking scenery. However, living in the city comes with significant financial considerations due to its high cost of living. This section provides an overview of the expected quality of life for someone earning $139,200 per year in San Francisco, focusing on the cost of living, housing market, quality of life, access to healthcare, and education.

Cost of Living

  • Overall Expenses: San Francisco's cost of living is significantly higher than the national average. The expenses related to housing, transportation, groceries, and other daily needs contribute to this increase.
  • Comparison to National Average: Residents of San Francisco face costs approximately 80% higher than the U.S. average. This impacts the purchasing power even for individuals with higher salaries like $139,200 annually.

Housing Market

  • Median Home Price: The median home price in San Francisco vastly exceeds the national average, often surpassing $1.3 million.
  • Renting vs. Buying: Due to exorbitant property prices, many residents opt to rent, where median monthly rents are around $3,500 for a two-bedroom apartment.
  • Housing Affordability: On a $139,200 salary, dedicating a significant portion of income to housing is inevitable, potentially straining other financial aspects.

Quality of Life

  • Entertainment and Culture: San Francisco offers rich cultural experiences and a lively entertainment scene, with numerous museums, theaters, and parks enhancing the quality of life.
  • Lifestyle and Community: Despite the high cost, the city's diverse communities and lifestyle options make it an appealing place for many residents.

Access to Healthcare

  • Healthcare Quality: San Francisco provides access to top-notch healthcare facilities and specialists. The quality of care is generally high, contributing positively to residents' quality of life.
  • Healthcare Costs: While healthcare quality is high, costs are correspondingly higher, requiring robust health insurance plans to manage expenses efficiently.

Quality of K-12 Schools

  • Public Schools: The quality of public schools varies, with several highly rated institutions. However, disparities exist based on neighborhood demographics.
  • Private Education: Many families consider private education, which can provide superior educational quality but at a significant cost.

Living in San Francisco with a salary of $139,200

See salary information for the Data Scientist role elsewhere in the United States

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OpenComp aggregates multiple data sources to provide accurate salary data for San Francisco, CA, specifically for a Level 1 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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