Salary for Mid-level / Intermediate Data Specialist during 2024

Salary details

The average mid-level / intermediate Data Specialist salary lies between USD 55,426 and USD 87,400 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.

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 Mid-level / Intermediate Data Specialist roles

The three most common job tag items assiciated with mid-level / intermediate Data Specialist job listings are Excel, Data management and Data quality. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:

Excel | 277 jobs Data management | 216 jobs Data quality | 193 jobs Research | 166 jobs SQL | 125 jobs Data analysis | 122 jobs Finance | 118 jobs Privacy | 118 jobs Testing | 115 jobs Engineering | 114 jobs Security | 98 jobs Power BI | 90 jobs Data visualization | 77 jobs Data governance | 66 jobs Python | 65 jobs Statistics | 58 jobs Pharma | 58 jobs GCP | 57 jobs Tableau | 55 jobs SAS | 54 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Data Specialist roles

The three most common job benefits and perks assiciated with mid-level / intermediate Data Specialist job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:

Career development | 259 jobs Health care | 183 jobs Flex hours | 153 jobs Competitive pay | 112 jobs Team events | 98 jobs Startup environment | 93 jobs Equity / stock options | 79 jobs Insurance | 79 jobs Flex vacation | 75 jobs Salary bonus | 62 jobs Wellness | 50 jobs Medical leave | 50 jobs Parental leave | 46 jobs 401(k) matching | 34 jobs Relocation support | 16 jobs Home office stipend | 16 jobs Gear | 13 jobs Fitness / gym | 13 jobs Transparency | 12 jobs Conferences | 12 jobs

Salary Composition

The salary for a Mid-level/Intermediate 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 fixed base salary is the largest component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary significantly depending on the company and industry, ranging from 5-20% of the base salary. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement contributions, can make up the remaining 5-15%.

Regional differences play a significant role in salary composition. For instance, tech hubs like Silicon Valley or New York City may offer higher base salaries and stock options, while companies in smaller markets might focus more on bonuses and benefits. Industry also impacts salary composition; tech companies might offer more stock options, whereas finance or healthcare sectors might provide higher bonuses. Company size can influence the package as well, with larger companies often providing more comprehensive benefits and smaller startups offering equity as a significant part of the compensation.

Increasing Salary

To increase your salary from a Mid-level/Intermediate 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 a Ph.D. in a relevant field can open up higher-paying opportunities and leadership roles.

• Networking: Engage with professional networks and communities. Attending conferences, workshops, and meetups can lead to new job opportunities and salary negotiations.

• Certifications: Obtain advanced certifications that are recognized in the industry to demonstrate your expertise and commitment to professional growth.

• Leadership Roles: Aim for roles with more responsibility, such as team lead or project manager, which often come with higher pay.

Educational Requirements

Most mid-level data specialist roles require at least a bachelor's degree in a relevant field such as computer science, data science, statistics, mathematics, or engineering. A strong foundation in these areas is crucial for understanding the complex algorithms and data structures used in AI/ML. Some positions may prefer or require a master's degree, especially in competitive markets or for roles with more responsibility.

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 validate your skills in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level data specialist role requires 3-5 years of experience in data analysis, machine learning, or a related field. This experience should include hands-on work with data modeling, statistical analysis, and the use of programming languages such as Python or R. Experience with data visualization tools and cloud platforms is also often required.

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