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Data Scientists in California

Data Scientists in California

Considering working as a Data Scientists in California? Below are the key facts. Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. Excludes “Statisticians” (15-2041), “Cartographers and Photogrammetrists” (17-1021), and “Health Information Technologists and Medical Registrars” (29-9021).

What do Data Scientists Make in California?

For a data scientists working in California, the typical annual salary is $136,800 per year (or about $65.77/hour).Annual wages span from $73,390 at the 10th percentile to $221,080 at the 90th percentile.

Wage Statistic Annual Hourly
10th percentile $73,390 $35.29
25th percentile $98,460 $47.34
Median (50th) $136,800 $65.77
75th percentile $177,480 $85.33
90th percentile $221,080 $106.29
Salary ranges for Data Scientists in California

Location quotient — how concentrated this career is in California relative to the national average — is 1.35, suggesting that data scientists are more concentrated here than the national average.

National Wage Comparison

Nationally, data scientists earn a median of $106,295 per year ($51.10/hour), higher than the California median.

Data Scientists earnings in California vs. the national average

Employment Outlook

Nationally, total employment in this occupation is 469,589 data scientists in the U.S.. In California alone, approximately 36,850 people work in this role. That’s higher than the typical state, which employs around 2,550 data scientists.

Data Scientists in California vs. the average state Forecasted number of jobs for Data Scientists

Top California Metros for Data Scientists

The largest metro-area employers of data scientists in California.

Metro Area Number Employed Annual Median Salary
Los Angeles-Long Beach-Anaheim, CA 10,030 $124,270
San Francisco-Oakland-Fremont, CA 9,350 $166,300
San Jose-Sunnyvale-Santa Clara, CA 6,570 $173,160
San Diego-Chula Vista-Carlsbad, CA 2,550 $127,200
Sacramento-Roseville-Folsom, CA 2,510 $98,460
Riverside-San Bernardino-Ontario, CA 840 $105,590
Oxnard-Thousand Oaks-Ventura, CA 480 $129,360
Bakersfield-Delano, CA 210 $91,360
Santa Maria-Santa Barbara, CA 200 $113,390
Fresno, CA 180 $89,680
Santa Cruz-Watsonville, CA 110 $116,480
Santa Rosa-Petaluma, CA 110 $111,550
Stockton-Lodi, CA 100 $113,220
Vallejo, CA 70 $118,180
Modesto, CA 60 $82,790
San Luis Obispo-Paso Robles, CA 60 $125,250
Salinas, CA 50 $96,440
Visalia, CA 50 $83,650
Chico, CA 40 $80,180
Napa, CA 40 $94,170
Redding, CA 40 $94,170

Top States for Data Scientists Employment

These states have the highest employment of data scientists work.

State Number Employed
California 36,850
Texas 23,420
New York 20,070
Pennsylvania 10,430
North Carolina 10,140
Massachusetts 9,990
Florida 9,480
Washington 7,930
Georgia 7,730
Illinois 7,390
Colorado 6,750
Michigan 6,450
Virginia 6,200
New Jersey 5,860
Ohio 5,510
Utah 4,830
Missouri 4,350
Arizona 4,080
Wisconsin 3,640
District of Columbia 3,580

Highest-Paying States for Data Scientists

These states pay the most for data scientists.

State Annual Median Salary
Washington $158,760
District of Columbia $137,120
California $136,800
Massachusetts $132,250
New Jersey $130,370
Virginia $126,070
New York $125,400
Maryland $124,340
Hawaii $123,880
Vermont $120,670

Daily Tasks

Data Scientists typically:

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
  • Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
  • Design surveys, opinion polls, or other instruments to collect data.
  • Identify business problems or management objectives that can be addressed through data analysis.
  • Identify relationships and trends or any factors that could affect the results of research.
  • Identify solutions to business problems, such as budgeting, staffing, and marketing decisions, using the results of data analysis.
  • Propose solutions in engineering, the sciences, and other fields using mathematical theories and techniques.

Tools & Technology

Common tools and software used in this occupation include: Hot technologies: Alteryx software, Amazon Elastic Compute Cloud EC2, Amazon Redshift, Amazon Web Services AWS software, Apache Airflow, Apache Cassandra, Apache Hadoop In-demand technologies: Amazon Web Services AWS software, Apache Hadoop, Apache Spark

What Major Will Prepare You For This Career?

Programs that train for this career include:

Careers similar to data scientists include:

Also Known As

Analytics Consultant, Applied Scientist, Data Analyst, Data Analytic Scientist, Data Analytics Manager, Data Analytics Scientist, Data Analytics Specialist, Data Architect, Data Consultant, Data Economist, Data Engineer, Data Management Scientist, Data Mining Analyst, Data Modeler, Data Quality Analyst.

References

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