Salary for Senior-level / Expert Decision Scientist during 2024

Salary details

The average senior-level / expert Decision Scientist salary lies between USD 120,000 and USD 177,500 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: Dec. 22, 2024

Salary trend

Top 20 Job Tags for Senior-level / Expert Decision Scientist roles

The three most common job tag items assiciated with senior-level / expert Decision Scientist job listings are Statistics, SQL and Python. 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 | 96 jobs SQL | 92 jobs Python | 91 jobs Mathematics | 79 jobs Engineering | 77 jobs Machine Learning | 73 jobs Tableau | 50 jobs Computer Science | 38 jobs GitHub | 37 jobs CX | 36 jobs Excel | 34 jobs Spark | 33 jobs Economics | 33 jobs Testing | 33 jobs R | 30 jobs Hadoop | 29 jobs NLP | 27 jobs Data analysis | 23 jobs Causal inference | 22 jobs Finance | 20 jobs

Top 20 Job Perks/Benefits for Senior-level / Expert Decision Scientist roles

The three most common job benefits and perks assiciated with senior-level / expert Decision Scientist job listings are Career development, Competitive pay and Equity / stock options. 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 | 51 jobs Competitive pay | 51 jobs Equity / stock options | 42 jobs Team events | 39 jobs Health care | 37 jobs Insurance | 24 jobs Flex hours | 23 jobs Salary bonus | 22 jobs Flex vacation | 19 jobs 401(k) matching | 15 jobs Startup environment | 14 jobs Parental leave | 10 jobs Flexible spending account | 8 jobs Wellness | 7 jobs Medical leave | 6 jobs Signing bonus | 4 jobs Snacks / Drinks | 4 jobs Transparency | 3 jobs Conferences | 3 jobs Home office stipend | 3 jobs

Salary Composition

The salary for a Senior-level or Expert Decision Scientist typically comprises a base salary, performance bonuses, and additional remuneration such as stock options or equity, especially in tech companies. The composition can vary significantly based on region, industry, and company size:

• Region: In the United States, tech hubs like San Francisco, New York, and Seattle often offer higher base salaries and more substantial equity packages compared to other regions. In Europe, cities like London and Berlin are known for competitive salaries, though they might offer less in terms of equity compared to the US.

• Industry: Tech companies, especially those in AI and machine learning, tend to offer higher salaries and more lucrative stock options. In contrast, industries like finance or healthcare might offer substantial bonuses tied to performance metrics.

• Company Size: Larger companies often provide more structured compensation packages with a significant portion in bonuses and stock options. Startups might offer lower base salaries but compensate with higher equity stakes.

Increasing Salary

To increase your salary from a Senior-level Decision Scientist position, consider the following strategies:

• Specialize Further: Develop expertise in niche areas of AI/ML, such as deep learning, natural language processing, or reinforcement learning, which are in high demand.

• Leadership Roles: Transition into leadership or managerial roles, such as a Head of Data Science or Chief Data Officer, which typically come with higher compensation.

• Consulting or Freelancing: Consider consulting or freelancing, where you can leverage your expertise for multiple clients, often at a higher hourly rate.

• Continuous Learning: Stay updated with the latest trends and technologies in AI/ML to remain competitive and justify salary increases.

Educational Requirements

Most Senior-level Decision Scientist roles require at least a master's degree in a relevant field such as Computer Science, Data Science, Statistics, or Mathematics. A Ph.D. can be advantageous, especially for roles that involve research or developing new algorithms.

Helpful Certificates

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

• Certified Data Scientist (CDS): Validates your skills in data science and analytics.
• TensorFlow Developer Certificate: Demonstrates proficiency in using TensorFlow for machine learning tasks.
• AWS Certified Machine Learning – Specialty: Shows expertise in implementing machine learning solutions on the AWS platform.

Required Experience

Typically, a Senior-level Decision Scientist is expected to have 5-10 years of experience in data science or related fields. This experience should include:

• Hands-on experience with machine learning models and data analysis.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools and techniques.
• A track record of successful projects or contributions to significant AI/ML initiatives.

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