Salary for Senior-level / Expert Python Developer during 2024

Salary details

The average senior-level / expert Python Developer salary lies between USD 88,888 and USD 125,000 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. 24, 2024

Top 20 Job Tags for Senior-level / Expert Python Developer roles

The three most common job tag items assiciated with senior-level / expert Python Developer job listings are Python, Machine Learning 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:

Python | 139 jobs Machine Learning | 98 jobs Engineering | 75 jobs SQL | 64 jobs Agile | 61 jobs Computer Science | 60 jobs AWS | 56 jobs APIs | 56 jobs Testing | 49 jobs Architecture | 49 jobs Docker | 47 jobs Azure | 46 jobs Git | 44 jobs CI/CD | 44 jobs Pipelines | 43 jobs Security | 42 jobs Pandas | 35 jobs DevOps | 34 jobs Big Data | 33 jobs GCP | 32 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Python Developer roles

The three most common job benefits and perks assiciated with senior-level / expert Python Developer job listings are Career development, Startup environment 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 | 96 jobs Startup environment | 55 jobs Flex hours | 51 jobs Salary bonus | 36 jobs Health care | 35 jobs Flex vacation | 34 jobs Competitive pay | 33 jobs Team events | 20 jobs Equity / stock options | 18 jobs Insurance | 11 jobs Wellness | 8 jobs Medical leave | 8 jobs Relocation support | 6 jobs Fitness / gym | 4 jobs 401(k) matching | 3 jobs Parental leave | 3 jobs Conferences | 3 jobs Gear | 2 jobs Home office stipend | 2 jobs Flexible spending account | 2 jobs

Salary Composition

The salary for a Senior-level or Expert Python Developer in AI/ML/Data Science typically comprises several components. The fixed base salary is the primary component, often making up 70-80% of the total compensation package. Bonuses, which can be performance-based or company-wide, usually account for 10-20%. Additional remuneration might include stock options, especially in tech companies or startups, and other benefits like health insurance, retirement contributions, and professional development allowances. The composition can vary significantly depending on the region, industry, and company size. For instance, tech hubs like Silicon Valley or New York might offer higher base salaries and stock options, while smaller companies might focus more on bonuses and flexible work arrangements.

Increasing Salary

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

• Specialization: Develop expertise in a niche area of AI/ML, such as natural language processing or computer vision, which can command higher salaries.
• Leadership Roles: Transition into roles that involve team leadership or project management, as these often come with higher pay.
• Continuous Learning: Stay updated with the latest technologies and methodologies in AI/ML, which can make you more valuable to employers.
• Networking: Engage with professional networks and communities to discover new opportunities and negotiate better offers.
• Consulting or Freelancing: Consider taking on consulting projects or freelance work, which can supplement your income and expand your professional experience.

Educational Requirements

Most senior-level positions in AI/ML/Data Science require at least a bachelor's degree in computer science, mathematics, statistics, or a related field. However, a master's degree or Ph.D. is often preferred, especially for roles that involve complex problem-solving and research. Advanced degrees can provide a deeper understanding of machine learning algorithms, data analysis, and statistical modeling, which are crucial for high-level positions.

Helpful Certificates

While not always mandatory, certain certifications can enhance your credentials and demonstrate your expertise:

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

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

Required Experience

Typically, a senior-level position requires at least 5-10 years of experience in software development, with a significant portion of that time focused on Python programming and AI/ML projects. Experience in leading projects, mentoring junior developers, and collaborating with cross-functional teams is also highly valued. Demonstrated success in deploying machine learning models and working with large datasets can set you apart from other candidates.

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