Salary for Mid-level / Intermediate Statistical Programmer in United States during 2024

Salary details

The average mid-level / intermediate Statistical Programmer salary lies between USD 84,448 and USD 135,500 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.

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: Nov. 17, 2024

Top 20 Job Tags for Mid-level / Intermediate Statistical Programmer roles

The three most common job tag items assiciated with mid-level / intermediate Statistical Programmer job listings are Statistics, SAS and Research. 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:

Statistics | 64 jobs SAS | 58 jobs Research | 38 jobs CDISC | 38 jobs Computer Science | 34 jobs R | 31 jobs Mathematics | 29 jobs Pharma | 27 jobs Engineering | 21 jobs Data management | 21 jobs Biostatistics | 21 jobs Data analysis | 17 jobs Python | 14 jobs XML | 12 jobs GCP | 11 jobs SQL | 9 jobs Bioinformatics | 9 jobs R&D | 8 jobs Consulting | 7 jobs Agile | 7 jobs

Top 20 Job Perks/Benefits for Mid-level / Intermediate Statistical Programmer roles

The three most common job benefits and perks assiciated with mid-level / intermediate Statistical Programmer 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 | 28 jobs Health care | 26 jobs Flex hours | 19 jobs Competitive pay | 16 jobs Equity / stock options | 12 jobs Insurance | 11 jobs Salary bonus | 10 jobs Flex vacation | 9 jobs Startup environment | 8 jobs Team events | 8 jobs Relocation support | 6 jobs Medical leave | 5 jobs Fitness / gym | 4 jobs Transparency | 4 jobs 401(k) matching | 2 jobs Wellness | 2 jobs Flexible spending account | 2 jobs Parental leave | 1 jobs Paid sabbatical | 1 jobs

Salary Composition

In the United States, the salary composition for a Mid-level/Intermediate Statistical Programmer in AI/ML/Data Science typically includes a base salary, performance bonuses, and additional remuneration such as stock options or profit-sharing. The base salary often constitutes the majority of the total compensation package, ranging from 70% to 85%. Performance bonuses can vary significantly depending on the company and industry, generally accounting for 10% to 20% of the total compensation. Additional remuneration, such as stock options, is more common in tech companies and startups, potentially making up 5% to 10% of the package. Regional differences also play a role; for instance, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job markets. Larger companies may offer more comprehensive benefits and bonuses, while smaller companies might provide more equity-based compensation.

Steps to Increase Salary

To increase your salary from this position, consider the following strategies:

• Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. 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 doors to higher-level positions and salary brackets.
• Networking: Engage with professional networks and attend industry conferences to connect with leaders and peers, which can lead to new opportunities.
• Leadership Roles: Seek opportunities to lead projects or teams, as managerial experience can significantly boost your earning potential.
• Certifications: Obtain relevant certifications that can validate your expertise and make you stand out to employers.

Educational Requirements

Most mid-level statistical programming roles in AI/ML/Data Science require at least a bachelor's degree in a related field such as computer science, statistics, mathematics, or data science. However, many employers prefer candidates with a master's degree, especially for more technical or specialized roles. A strong foundation in statistical methods, programming languages (such as Python or R), and data analysis is essential. Coursework or experience in machine learning, data mining, and database management can also be highly beneficial.

Helpful Certifications

While not always mandatory, certain certifications can enhance your profile and demonstrate your commitment to the field. Some valuable certifications include:

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

These certifications can provide a competitive edge by showcasing your expertise and dedication to continuous learning.

Required Experience

Typically, a mid-level statistical programmer in AI/ML/Data Science is expected to have 3 to 5 years of relevant experience. This experience should include hands-on work with statistical programming, data analysis, and machine learning projects. Experience in specific industries, such as healthcare, finance, or technology, can be advantageous, as it provides domain-specific insights and knowledge.

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