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salary information

Salary Information for a Data Scientist in San Jose, CA

Median salary:

This data reflects Total Cash for a Level 2 Data Scientist at a mid-size company. To get more detailed information on total compensation for the role of Data Scientist in San Jose, CA, including base pay, total cash, and equity by job level, region and company size, please join OpenComp.

25th percentile
50th percentile
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Behind the numbers

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

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 San Jose, 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 2 Data Scientist?

A level 2 Data Scientist in San Jose, CA has well developed professional and technical expertise. Their work impacts the quality and timeline of part of a product or service. They typically have 3 yearas of average experience.

Data Scientist

Benchmark Role

Individual Contributor

Job Type

Data Science

Job Family

Technology

Job Area

Quality of Life in San Jose, CA with an Income of $161,700

Understanding the quality of life in San Jose, CA, involves evaluating various factors including the cost of living, housing market, access to healthcare, and quality of K-12 schools. An income of $161,700 positions someone well in terms of local earnings, given the region's economic landscape.

Cost of Living

  • Higher than National Average: San Jose is known for its high cost of living, primarily driven by housing and transportation expenses.
  • Daily Expenses: Food, utilities, and transportation costs are generally higher compared to many other regions in the U.S.
  • Comparison with National Average: While the income of $161,700 exceeds the national median household income, the cost of living adjustments may not stretch the dollar as far as in other areas.

Housing Market

  • Home Prices: The median home price in San Jose is significantly above the national average, a hallmark of Silicon Valley's real estate market.
  • Renting vs. Buying: For those earning $161,700, homeownership is plausible but may require significant financial planning, while renting offers more immediate flexibility.
  • Investment Potential: Despite high prices, San Jose's housing market remains a robust long-term investment, fueled by demand and limited supply.

Quality of Life

  • Economic Opportunities: San Jose boasts strong economic growth and employment opportunities, particularly in technology and related sectors.
  • Cultural Amenities: Residents enjoy diverse cultural amenities, including museums, theaters, and international cuisines.
  • Outdoor Activities: Proximity to parks and natural landscapes offers ample outdoor recreation options, contributing positively to quality of life.

Access to Healthcare

  • Healthcare Facilities: The region is well-served by high-quality healthcare institutions, equipped with advanced medical services.
  • Insurance and Costs: Healthcare costs are on the higher end, necessitating comprehensive insurance to mitigate expenses effectively.

Quality of K-12 Schools

  • Top-ranking Schools: San Jose is home to top-ranking public and private schools, renowned for their academic excellence and extracurricular programs.
  • Diversity in Education: Schools in the area offer diverse curricula and advanced placement opportunities, reflecting the community's commitment to education.

Summary

Living in San Jose, CA, with an income of $161,700 provides a comfortable lifestyle, though mindful financial management is essential due to high living costs

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 Jose, CA, specifically for a Level 2 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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