Salary for Mid-level / Intermediate Data Specialist during 2023

Salary details

The average mid-level / intermediate 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.

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

Last updated: Nov. 17, 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, SQL and Data management. 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 | 17 jobs SQL | 15 jobs Data management | 14 jobs Engineering | 13 jobs Research | 11 jobs Statistics | 10 jobs Finance | 9 jobs Testing | 9 jobs Computer Science | 9 jobs Data analysis | 8 jobs Python | 7 jobs Data Analytics | 7 jobs Architecture | 7 jobs Data quality | 7 jobs R | 6 jobs Security | 6 jobs Consulting | 5 jobs Power BI | 5 jobs Jira | 5 jobs Privacy | 5 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 Startup environment. 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 | 26 jobs Health care | 21 jobs Startup environment | 15 jobs Flex hours | 11 jobs Competitive pay | 11 jobs Team events | 11 jobs Flex vacation | 10 jobs 401(k) matching | 7 jobs Equity / stock options | 7 jobs Salary bonus | 7 jobs Parental leave | 6 jobs Insurance | 4 jobs Wellness | 2 jobs Conferences | 2 jobs Medical leave | 2 jobs Unlimited paid time off | 2 jobs Gear | 1 jobs Home office stipend | 1 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 most significant component, often accounting for 70-85% of the total compensation package. Performance bonuses can vary widely, ranging from 5-20% of the base salary, depending on the company's performance and individual achievements. Additional remuneration, such as stock options, profit-sharing, or benefits like health insurance and retirement plans, 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 regions with a lower cost of living might provide more substantial benefits packages. Industry also influences salary composition; tech companies might offer more stock options, whereas finance or healthcare sectors might provide higher bonuses. Company size can affect the package as well, with larger companies often offering more comprehensive benefits and smaller startups providing equity options.

Steps to Increase 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 relevant certifications can enhance your qualifications and open up higher-paying opportunities.

• Networking: Engage with industry professionals through conferences, workshops, and online platforms. Networking can lead to new job opportunities or collaborations that might offer better compensation.

• Performance and Negotiation: Consistently exceed performance expectations and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.

• Transition to High-Paying Industries: Consider moving to industries known for higher compensation, such as finance, tech, or consulting.

Educational Requirements

Most Mid-level/Intermediate 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 master's degree can be advantageous and is often preferred by employers, especially for roles involving complex data analysis or machine learning model development. Coursework in programming, data structures, algorithms, and statistical analysis is essential.

Helpful Certifications

Certifications can bolster your credentials and demonstrate expertise in specific areas. Some valuable certifications include:

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

These certifications can validate your skills and knowledge, making you more competitive in the job market.

Required Experience

Typically, a Mid-level/Intermediate Data Specialist position requires 2-5 years of relevant experience. This experience should include hands-on work with data analysis, machine learning model development, and proficiency in programming languages such as Python or R. Experience with data visualization tools, databases, and cloud platforms is also beneficial. Demonstrating a track record of successful projects and the ability to work collaboratively in a team environment is crucial.

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