Data Specialist Salary in United States during 2022

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

✏️ This salary info is based on 10 individual salaries reported during 2022

Salary details

The average Data Specialist salary lies between USD 70,000 and USD 148,700 in the United States. 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: United States

Salary year: 2022

Sample size: 10

Top 10%: $ 165,000

Top 25%: $ 148,700

Median: $ 110,000

Bottom 25%: $ 70,000

Bottom 10%: $ 70,000

Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.

Last updated: Dec. 29, 2024

Salary trend

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:

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:

Salary Composition

In the United States, the salary composition for a Data Specialist in AI/ML/Data Science typically includes a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is often the largest component, making up about 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might account for 10-20%. Additional remuneration, such as stock options, profit sharing, or other benefits, can vary significantly depending on the company size, industry, and region. For instance, tech companies in Silicon Valley might offer substantial stock options, while companies in other regions might focus more on cash bonuses.

Steps to Increase Salary

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

Skill Enhancement: Continuously update your skills in emerging technologies and tools in AI/ML and data science. Specializing in high-demand areas like deep learning, natural language processing, or big data analytics can make you more valuable.
Advanced Education: Pursuing a master's degree or Ph.D. in a related field can open up higher-paying opportunities.
Networking: Engage with professional networks and attend industry conferences to learn about new opportunities and trends.
Leadership Roles: Aim for leadership or managerial roles, which typically offer higher salaries.
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 highly.

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, data science, statistics, or mathematics. 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 often essential.

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 competitive candidate.

Experience Requirements

Typically, a Data Specialist role requires 2-5 years of experience in data analysis, machine learning, or a related field. Experience with specific tools and technologies, such as Python, R, SQL, and machine learning frameworks, is often necessary. Practical experience in handling large datasets and developing data-driven solutions is highly valued.

Related salaries

Data Specialist @ $ 110,000 (global) Details

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