Data Specialist Salary in 2023
💰 The median Data Specialist Salary in 2023 is USD 83,400
✏️ This salary info is based on 36 individual salaries reported during 2023
Salary details
The average Data Specialist salary lies between USD 70,000 and USD 109,000 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
- 2023
- Sample size
- 36
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Data Specialist roles
The three most common job tag items assiciated with Data Specialist job listings are Excel, SQL and Engineering. Below you find a list of the 20 most occuring job tags in 2023 and the number of open jobs that where associated with them during that period:
Excel | 113 jobs SQL | 85 jobs Engineering | 70 jobs Python | 65 jobs Data management | 57 jobs Research | 54 jobs Data quality | 50 jobs Data analysis | 48 jobs Computer Science | 44 jobs Tableau | 41 jobs Power BI | 41 jobs Testing | 39 jobs Finance | 38 jobs Security | 37 jobs R | 32 jobs Data Analytics | 32 jobs ETL | 30 jobs Statistics | 29 jobs CX | 26 jobs Data visualization | 26 jobsTop 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 Health care. Below you find a list of the 20 most occuring job perks or benefits in 2023 and the number of open jobs that where offering them during that period:
Career development | 121 jobs Startup environment | 73 jobs Health care | 68 jobs Flex hours | 63 jobs Competitive pay | 53 jobs Team events | 53 jobs Flex vacation | 49 jobs Salary bonus | 33 jobs Equity / stock options | 30 jobs Parental leave | 27 jobs Insurance | 20 jobs Medical leave | 17 jobs Transparency | 11 jobs 401(k) matching | 10 jobs Wellness | 9 jobs Gear | 8 jobs Relocation support | 8 jobs Home office stipend | 8 jobs Fitness / gym | 7 jobs Conferences | 4 jobsSalary Composition
The salary for a Data Specialist in AI/ML/Data Science typically comprises a fixed base salary, performance bonuses, and additional remuneration such as stock options or benefits. The composition can vary significantly based on region, industry, and company size. In tech hubs like Silicon Valley, the base salary might be higher, but bonuses and stock options can also form a substantial part of the total compensation package. In contrast, companies in smaller markets or industries like healthcare or finance might offer a lower base salary but compensate with higher bonuses or benefits. Larger companies often provide more comprehensive benefits and stock options, while smaller startups might offer equity as a significant part of the package to attract talent.
Steps to Increase Salary
To increase your salary from a Data Specialist position, consider the following strategies:
- Skill Enhancement: Continuously update your skills in the latest AI/ML technologies and tools. Specializing in high-demand areas like deep learning, natural language processing, or data engineering 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 communities to learn about new opportunities and trends.
- Certifications: Obtain relevant certifications to validate your skills and increase your marketability.
- Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which typically come with higher pay.
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. A strong foundation in programming, statistics, and machine learning principles is essential.
Helpful Certifications
Certifications can enhance your resume and demonstrate your expertise. Some valuable certifications include:
- 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 help you stand out in the job market and may lead to higher salary offers.
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 manipulation, statistical analysis, and machine learning model development is crucial. Familiarity with programming languages like Python or R, and tools such as TensorFlow, PyTorch, or SQL, is often required.
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