Salary for Senior-level / Expert Data Modeler during 2024

Salary details

The average senior-level / expert Data Modeler salary lies between USD 110,000 and USD 151,800 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 Senior-level / Expert Data Modeler roles

The three most common job tag items assiciated with senior-level / expert Data Modeler job listings are SQL, Architecture and Engineering. 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:

SQL | 133 jobs Architecture | 95 jobs Engineering | 82 jobs Computer Science | 77 jobs Security | 73 jobs ETL | 70 jobs Data governance | 65 jobs Data management | 57 jobs Data Warehousing | 56 jobs Data quality | 53 jobs Snowflake | 48 jobs Agile | 48 jobs AWS | 47 jobs Azure | 45 jobs Data warehouse | 44 jobs NoSQL | 43 jobs Python | 40 jobs Data analysis | 37 jobs Privacy | 37 jobs Big Data | 35 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Data Modeler roles

The three most common job benefits and perks assiciated with senior-level / expert Data Modeler job listings are Career development, Health care and Competitive pay. 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 | 85 jobs Health care | 68 jobs Competitive pay | 35 jobs Flex hours | 34 jobs Team events | 27 jobs Insurance | 27 jobs Startup environment | 24 jobs Equity / stock options | 21 jobs Flex vacation | 16 jobs 401(k) matching | 14 jobs Wellness | 13 jobs Salary bonus | 13 jobs Relocation support | 11 jobs Transparency | 6 jobs Medical leave | 6 jobs Parental leave | 5 jobs Fitness / gym | 4 jobs Flexible spending account | 4 jobs Gear | 2 jobs Lunch / meals | 1 jobs

Salary Composition

The salary for a Senior-level or Expert Data Modeler in AI/ML/Data Science typically comprises a fixed base salary, performance-based bonuses, and additional remuneration such as stock options or profit-sharing. The composition can vary significantly depending on the region, industry, and company size.

• Region: In tech hubs like Silicon Valley or New York, the base salary might be higher due to the cost of living and competitive job market. In contrast, regions with a lower cost of living might offer a smaller base salary but compensate with other benefits.
• Industry: Industries such as finance and healthcare often offer higher bonuses due to the critical nature of data modeling in their operations. Tech companies might provide stock options as part of the compensation package.
• Company Size: Larger companies may offer more comprehensive benefits and bonuses, while startups might offer equity or stock options as a significant part of the compensation to attract talent.

Increasing Salary

To increase your salary further from a Senior-level Data Modeler position, consider the following strategies:

• Specialization: Develop expertise in a niche area of data science or machine learning that is in high demand, such as deep learning, natural language processing, or AI ethics.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of Data Science, which typically come with higher compensation.
• Consulting: Consider offering your expertise as a consultant, which can command higher hourly rates and provide diverse opportunities.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, and pursue advanced certifications or courses to enhance your skill set.

Educational Requirements

Most Senior-level Data Modeler positions require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve research or advanced algorithm development. Strong foundational knowledge in data structures, algorithms, and statistical modeling is essential.

Helpful Certifications

While not always mandatory, certain certifications can enhance your credibility and demonstrate your commitment to the field:

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

These certifications can provide a competitive edge and are often recognized by employers as a testament to your skills and knowledge.

Required Experience

Typically, a Senior-level Data Modeler is expected to have at least 5-10 years of experience in data science or related fields. This experience should include hands-on work with data modeling, machine learning algorithms, and data analysis. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

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