Salary for Senior-level / Expert Statistical Programmer in United States during 2024

Salary details

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

In the United States, the salary composition for a Senior-level or Expert Statistical Programmer in AI/ML/Data Science typically includes a combination of a fixed base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. 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, typically ranging from 10% to 20% of the base salary. Additional remuneration, such as stock options, is more common in larger tech companies and startups, where it can form a significant part of the compensation 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 market.

Increasing Salary

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

• Specialization: Develop expertise in a niche area within AI/ML, such as natural language processing, computer vision, or reinforcement learning, which can command higher salaries.
• Leadership Roles: Transition into leadership or managerial roles, such as a Data Science Manager or Director of AI, which typically offer higher compensation.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML by attending workshops, conferences, and online courses.
• Networking: Build a strong professional network by engaging with industry peers, joining relevant professional organizations, and participating in AI/ML communities.
• Negotiation Skills: Enhance your negotiation skills to better advocate for higher compensation during performance reviews or when switching jobs.

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 and development of new algorithms or methodologies. Employers often look for candidates with a strong foundation in statistical analysis, machine learning, and programming.

Helpful Certificates

While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise to potential employers. Some valuable certifications include:

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

These certifications can validate your skills and knowledge in specific tools and platforms commonly used in the industry.

Required Experience

Typically, a Senior-level or Expert Statistical Programmer in AI/ML/Data Science is expected to have at least 5 to 10 years of relevant experience. This experience should include hands-on work with statistical programming, data analysis, and machine learning model development. Experience in leading projects, mentoring junior team members, and collaborating with cross-functional teams is also highly valued.

Related salaries

Want to contribute?