Salary for Senior-level / Expert Statistical Programmer during 2024

Salary details

The average senior-level / expert Statistical Programmer salary lies between USD 106,200 and USD 177,000 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

Top 20 Job Tags for Senior-level / Expert Statistical Programmer roles

The three most common job tag items assiciated with senior-level / expert Statistical Programmer job listings are Statistics, SAS and CDISC. 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 | 241 jobs SAS | 199 jobs CDISC | 146 jobs Mathematics | 145 jobs Computer Science | 145 jobs Research | 139 jobs Pharma | 113 jobs R | 81 jobs Biostatistics | 81 jobs Data management | 70 jobs XML | 57 jobs Engineering | 55 jobs Data analysis | 51 jobs GCP | 33 jobs Privacy | 32 jobs R&D | 26 jobs Python | 23 jobs SQL | 23 jobs Consulting | 23 jobs Testing | 23 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Statistical Programmer roles

The three most common job benefits and perks assiciated with senior-level / expert Statistical Programmer job listings are Career development, Health care and Team events. 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 | 120 jobs Health care | 65 jobs Team events | 53 jobs Startup environment | 38 jobs Competitive pay | 38 jobs Flex hours | 37 jobs Equity / stock options | 19 jobs Medical leave | 17 jobs Insurance | 15 jobs Parental leave | 13 jobs Wellness | 11 jobs Flex vacation | 9 jobs Fitness / gym | 9 jobs Relocation support | 6 jobs Salary bonus | 6 jobs Transparency | 4 jobs Travel | 3 jobs Gear | 3 jobs Paid sabbatical | 3 jobs Conferences | 2 jobs

Salary Composition

The salary for a Senior-level/Expert 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 often the largest component, accounting for 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, might contribute 10-20%. Additional remuneration, including stock options, health benefits, and retirement contributions, can make up the remaining 5-10%.

Regional differences play a significant role; for instance, salaries in tech hubs like San Francisco or New York are generally higher due to the cost of living and demand for talent. Industry also matters; tech companies might offer more stock options, while finance companies might provide higher cash bonuses. Company size can influence the package as well, with larger companies often offering more comprehensive benefits.

Increasing Salary

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

• Skill Enhancement: Continuously update your skills in emerging technologies and methodologies in AI/ML. Specializing in niche areas can make you more valuable.
• Leadership Roles: Transition into leadership or managerial roles, which typically offer higher compensation.
• Networking: Build a strong professional network to learn about higher-paying opportunities and gain insights into industry trends.
• Negotiation: Improve your negotiation skills to better advocate for higher pay during performance reviews or when switching jobs.
• Consulting: Consider consulting roles or freelance work, which can offer higher hourly rates.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a master's degree in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science. A Ph.D. can be advantageous, especially for roles that involve research or developing new algorithms. Strong foundational knowledge in statistics and programming is essential.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile:

• Certified Data Scientist (CDS)
• TensorFlow Developer Certificate
• AWS Certified Machine Learning – Specialty
• Microsoft Certified: Azure AI Engineer Associate
• SAS Certified Data Scientist

These certifications demonstrate expertise in specific tools and platforms, which can be attractive to employers.

Required Experience

Typically, a senior-level position requires 5-10 years of experience in statistical programming, data analysis, or a related field. Experience in leading projects, mentoring junior staff, and a proven track record of successful project delivery are often expected. Familiarity with industry-specific applications of AI/ML can also be beneficial.

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