Data Specialist Salary in 2022

💰 The median Data Specialist Salary in 2022 is USD 110,000

✏️ This salary info is based on 11 individual salaries reported during 2022

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Salary details

The average Data Specialist salary lies between USD 70,000 and USD 148,700 globally. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.

Job title
Data Specialist
Experience
all levels
Region
global/worldwide
Salary year
2022
Sample size
11
Top 10%
$ 165,000
Top 25%
$ 148,700
Median
$ 110,000
Bottom 25%
$ 70,000
Bottom 10%
$ 70,000

All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

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Salary trend

Data Specialist Salary TrendYearly salary in USD - Region: Global - Experience: All levels$120,000$120,000$110,000$110,000$100,000$100,000$90,000$90,000$80,000$80,000$70,000$70,000202220222023202320242024
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Top 20 Job Tags for Data Specialist roles

The three most common job tag items assiciated with Data Specialist job listings are SQL, Excel and Research. Below you find a list of the 20 most occuring job tags in 2022 and the number of open jobs that where associated with them during that period:

SQL | 55 jobs Excel | 47 jobs Research | 44 jobs Engineering | 40 jobs Data analysis | 34 jobs Python | 31 jobs R | 28 jobs Computer Science | 24 jobs Finance | 23 jobs Data quality | 23 jobs Tableau | 21 jobs Data management | 21 jobs Testing | 19 jobs Security | 17 jobs Statistics | 16 jobs Mathematics | 16 jobs RDBMS | 16 jobs Machine Learning | 14 jobs R&D | 14 jobs MySQL | 12 jobs

Top 20 Job Perks/Benefits for Data Specialist roles

The three most common job benefits and perks assiciated with Data Specialist job listings are Career development, Startup environment and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2022 and the number of open jobs that where offering them during that period:

Career development | 64 jobs Startup environment | 60 jobs Flex hours | 52 jobs Team events | 47 jobs Flex vacation | 36 jobs Health care | 36 jobs Parental leave | 29 jobs Competitive pay | 20 jobs Equity / stock options | 18 jobs Wellness | 17 jobs 401(k) matching | 12 jobs Insurance | 12 jobs Medical leave | 11 jobs Snacks / Drinks | 10 jobs Salary bonus | 6 jobs Home office stipend | 6 jobs Unlimited paid time off | 6 jobs Fitness / gym | 5 jobs Transparency | 4 jobs Fertility benefits | 4 jobs

Salary Composition

The salary composition for a Data Specialist in AI/ML/Data Science can vary significantly based on region, industry, and company size. Generally, the salary is composed of a fixed base salary, a performance-based bonus, and additional remuneration such as stock options or benefits. In tech hubs like Silicon Valley, the base salary might be higher, but the cost of living is also elevated. In contrast, regions with a lower cost of living might offer a smaller base salary but could compensate with a more substantial bonus or stock options. Industries such as finance or healthcare might offer higher bonuses due to the critical nature of data in these fields. Larger companies often provide more comprehensive benefits packages, including health insurance, retirement plans, and professional development opportunities, which can add significant value to the overall compensation package.

Increasing Salary

To increase your salary from a Data Specialist position, consider the following steps:

  • Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in a niche area can make you more valuable.
  • Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open doors to higher-paying roles.
  • Networking: Engage with industry professionals through conferences, workshops, and online platforms to learn about new opportunities.
  • Leadership Roles: Aim for positions that involve team leadership or project management, as these often come with higher pay.
  • Switching Companies: Sometimes, moving to a different company can result in a significant salary increase, especially if the new company values your specific skill set more.

Educational Requirements

Most Data Specialist roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. Coursework in machine learning, data mining, and statistical analysis is particularly beneficial.

Helpful Certifications

While not always required, certain certifications can enhance your resume and demonstrate your expertise:

  • Certified Data Scientist (CDS)
  • Google Professional Machine Learning Engineer
  • Microsoft Certified: Azure Data Scientist Associate
  • AWS Certified Machine Learning – Specialty
  • TensorFlow Developer Certificate

These certifications can validate your skills and knowledge, making you a more attractive candidate to potential employers.

Experience Requirements

Typically, a Data Specialist role requires 2-5 years of experience in data analysis, machine learning, or a related field. Experience with data visualization tools, programming languages like Python or R, and machine learning frameworks is often necessary. Practical experience in handling large datasets and working on real-world projects is highly valued.

Related salaries

Data Specialist @ $ 110,000 (United States) Details

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