Salary for Mid-level / Intermediate Statistical Programmer during 2024

Salary details

The average mid-level / intermediate Statistical Programmer salary lies between USD 77,600 and USD 135,500 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

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

The salary for a Mid-level/Intermediate Statistical Programmer in AI/ML/Data Science typically comprises a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually forms the largest part of the total compensation package. Bonuses can vary significantly depending on the company's performance, individual performance, and industry standards. In tech-heavy regions like Silicon Valley, bonuses and stock options might be more substantial compared to other areas. Larger companies often offer more comprehensive benefits packages, including health insurance, retirement plans, and professional development funds, which can add significant value to the overall compensation.

Steps to Increase Salary

To increase your salary from this 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 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.
• Leadership Roles: Aim for roles that involve team leadership or project management, as these often come with higher pay.
• Industry Switch: Consider moving to industries that pay higher salaries for similar roles, such as finance or healthcare.

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 engineering. A master's degree is often preferred and can be a significant advantage, especially if it is in data science or a closely related discipline. Some positions may also value interdisciplinary studies that combine technical skills with business acumen.

Helpful Certifications

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

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Professional Data Engineer
• AWS Certified Machine Learning – Specialty
• SAS Certified Advanced Programmer for SAS 9

These certifications can validate your expertise in specific tools and platforms, making you more attractive to potential employers.

Required Experience

Typically, a mid-level statistical programmer is expected to have 3-5 years of relevant experience. This experience should include hands-on work with statistical programming languages such as R or Python, as well as experience with data manipulation, analysis, and visualization. Experience in applying machine learning algorithms and working with large datasets is also highly valued. Additionally, familiarity with cloud platforms and version control systems can be beneficial.

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